Triple
T9846259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jules and Jim |
E239348
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Marcel Berbert |
E820587
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Marcel Berbert | Statement: [Jules and Jim, producer, Marcel Berbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcel Berbert Context triple: [Jules and Jim, producer, Marcel Berbert]
-
A.
Marcel Berbert
chosen
Marcel Berbert was a French film producer known for his collaborations with prominent directors such as François Truffaut during the mid-20th century.
-
B.
Bruno Barbey
Bruno Barbey was a renowned French-Moroccan photojournalist celebrated for his vivid color photography and extensive work documenting political unrest and cultural life around the world.
-
C.
Boris Dilliès
Boris Dilliès is a Belgian politician known for serving as the mayor of the Brussels municipality of Uccle.
-
D.
Marcel Weber
Marcel Weber is a personal name shared by multiple individuals, most commonly of German-speaking or Swiss origin, and may refer to various figures in fields such as sports, academia, or the arts.
-
E.
Jules Repond
Jules Repond was a Swiss military officer best known for redesigning and modernizing the distinctive Renaissance-style uniforms of the Vatican's Swiss Guard in the early 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb36156308190b26892702f3b41e0 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d4079048190976eb198f8ef62f0 |
completed | April 5, 2026, 7:20 a.m. |
Created at: March 30, 2026, 8:34 p.m.