diff --git a/benchmarks/backwards_ecal/Snakefile b/benchmarks/backwards_ecal/Snakefile
index c19db356d41047876f1ce83e991001f63152c556..5d654ee940013d45e1b22c30292a94b380ad83ab 100644
--- a/benchmarks/backwards_ecal/Snakefile
+++ b/benchmarks/backwards_ecal/Snakefile
@@ -157,7 +157,6 @@ rule backwards_ecal:
 env \
 MATPLOTLIBRC={input.matplotlibrc} \
 DETECTOR_CONFIG=""" + DETECTOR_CONFIG + """ \
-PLOT_TITLE=""" + DETECTOR_CONFIG + """ \
 INPUT_PATH_FORMAT=listing/backwards_ecal/{wildcards.CAMPAIGN}/""" + DETECTOR_CONFIG + """/{{particle}}/{{energy}}/130to177deg.lst \
 OUTPUT_DIR={output} \
 python {input.script}
diff --git a/benchmarks/backwards_ecal/backwards_ecal.org b/benchmarks/backwards_ecal/backwards_ecal.org
index c917ce1fd28ab3acc4ab83e75bdca3bc69fad673..34be9b7ba35240479cca3f8cf5df166f127dc070 100644
--- a/benchmarks/backwards_ecal/backwards_ecal.org
+++ b/benchmarks/backwards_ecal/backwards_ecal.org
@@ -122,8 +122,6 @@ for energy in energies:
 #+begin_src jupyter-python
 fig, axs = plt.subplots(2, 4, sharex=True, sharey=True, figsize=(15, 6))
 
-fig.suptitle(PLOT_TITLE)
-
 axs = np.ravel(np.array(axs))
 
 sigmas_rel_FWHM_cb = {}
@@ -227,7 +225,6 @@ plt.fill_between(
     np.sqrt((2 / np.sqrt(energy_values)) ** 2 + 3 ** 2),
     alpha=0.2, color="black", label=r"YR requirement $2\% / \sqrt{E} \oplus (1-3)\%$",
 )
-plt.title(INPUT_PATH_FORMAT)
 plt.legend()
 plt.xlabel("Energy, GeV", loc="right")
 plt.ylabel(r"$\sigma_{E} / E$ derived from FWHM, %", loc="top")
@@ -243,10 +240,6 @@ fig, axs = plt.subplots(2, 4, sharex=True, sharey=True, figsize=(15, 6))
 fig_log, axs_log = plt.subplots(2, 4, sharex=True, sharey=True, figsize=(15, 6))
 fig_roc, axs_roc = plt.subplots(2, 4, sharex=True, sharey=True, figsize=(15, 6))
 
-fig.suptitle(PLOT_TITLE)
-fig_log.suptitle(PLOT_TITLE)
-fig_roc.suptitle(PLOT_TITLE)
-
 axs = np.ravel(np.array(axs))
 axs_log = np.ravel(np.array(axs_log))
 axs_roc = np.ravel(np.array(axs_roc))
@@ -317,7 +310,6 @@ for clf_label, roc in rocs.items():
         label=f"{clf_label}",
     )
 plt.yscale("log")
-plt.title(INPUT_PATH_FORMAT)
 plt.legend()
 plt.xlabel("Energy, GeV")
 plt.ylabel("Pion rejection at 95%")