Triple
T20774492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Zimmer |
E511319
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michèle Pétin
Michèle Pétin is a French film producer known for her work on the thriller "Anthony Zimmer" and other European cinema projects.
|
E1455982
|
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: Michèle Pétin | Statement: [Anthony Zimmer, producer, Michèle Pétin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michèle Pétin Context triple: [Anthony Zimmer, producer, Michèle Pétin]
-
A.
Michèle Girardon
Michèle Girardon was a French actress known for her roles in European cinema of the 1950s and 1960s.
-
B.
Michèle Delaunay
Michèle Delaunay is a French politician and former government minister known for her work in public health and social policy.
-
C.
Michèle Mouton
Michèle Mouton is a pioneering French rally driver best known for becoming the first woman to win a World Rally Championship event and for contending for the overall WRC title in the early 1980s.
-
D.
Geneviève Picot
Geneviève Picot is an Australian actress known for her work in film, television, and theatre, including a prominent role in the acclaimed drama "Proof."
-
E.
Michèle Méritz
Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
- 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: Michèle Pétin Triple: [Anthony Zimmer, producer, Michèle Pétin]
Generated description
Michèle Pétin is a French film producer known for her work on the thriller "Anthony Zimmer" and other European cinema projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michèle Pétin Target entity description: Michèle Pétin is a French film producer known for her work on the thriller "Anthony Zimmer" and other European cinema projects.
-
A.
Michèle Girardon
Michèle Girardon was a French actress known for her roles in European cinema of the 1950s and 1960s.
-
B.
Michèle Delaunay
Michèle Delaunay is a French politician and former government minister known for her work in public health and social policy.
-
C.
Michèle Mouton
Michèle Mouton is a pioneering French rally driver best known for becoming the first woman to win a World Rally Championship event and for contending for the overall WRC title in the early 1980s.
-
D.
Geneviève Picot
Geneviève Picot is an Australian actress known for her work in film, television, and theatre, including a prominent role in the acclaimed drama "Proof."
-
E.
Michèle Méritz
Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26a39bc81909ca5d102056d8586 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918b94e84819099b2ab80c4816297 |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a09193219988190bded9cdbed209cee |
completed | May 17, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0919aebf64819095c54a4854024fef |
completed | May 17, 2026, 1:28 a.m. |
Created at: April 16, 2026, 12:37 p.m.