Triple
T16875768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Biches |
E421294
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Serge Bento
Serge Bento is an actor known for his role in the French film "Les Biches," directed by Claude Chabrol.
|
E1237873
|
NE FINISHED |
How this triple was built (4 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: Serge Bento | Statement: [Les Biches, castMember, Serge Bento]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serge Bento Context triple: [Les Biches, castMember, Serge Bento]
-
A.
Serge July
Serge July is a French journalist and media executive best known for co-founding and long directing the left-leaning daily newspaper Libération.
-
B.
Serge Mouret
Serge Mouret is a young, devout Catholic priest whose inner conflict between religious duty and human passion drives the tragic narrative of Émile Zola’s novel "La Faute de l’Abbé Mouret."
-
C.
Les Kossatz
Les Kossatz was an Australian sculptor and artist renowned for his public monuments and distinctive figurative works.
-
D.
Anatole
Anatole is the famously temperamental and gifted French chef employed by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
-
E.
Raoul Rigault
Raoul Rigault was a radical French journalist and revolutionary best known as the zealous head of police and prominent figure in the 1871 Paris Commune.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Serge Bento Triple: [Les Biches, castMember, Serge Bento]
Generated description
Serge Bento is an actor known for his role in the French film "Les Biches," directed by Claude Chabrol.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Serge Bento Target entity description: Serge Bento is an actor known for his role in the French film "Les Biches," directed by Claude Chabrol.
-
A.
Serge July
Serge July is a French journalist and media executive best known for co-founding and long directing the left-leaning daily newspaper Libération.
-
B.
Serge Mouret
Serge Mouret is a young, devout Catholic priest whose inner conflict between religious duty and human passion drives the tragic narrative of Émile Zola’s novel "La Faute de l’Abbé Mouret."
-
C.
Les Kossatz
Les Kossatz was an Australian sculptor and artist renowned for his public monuments and distinctive figurative works.
-
D.
Anatole
Anatole is the famously temperamental and gifted French chef employed by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
-
E.
Raoul Rigault
Raoul Rigault was a radical French journalist and revolutionary best known as the zealous head of police and prominent figure in the 1871 Paris Commune.
- F. None of above. chosen
Provenance (5 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b4abd08190841c5bb0b0eaa177 |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c355f4108190a4209599bf5f50da |
completed | May 10, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c413314881909e308588af09ce2a |
completed | May 10, 2026, 5:44 p.m. |
Created at: April 10, 2026, 5:29 a.m.