Triple
T22233646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocolat |
E549530
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Olivier Gorce
Olivier Gorce is a French screenwriter known for his work on acclaimed films such as "Chocolat."
|
E1533791
|
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: Olivier Gorce | Statement: [Chocolat, screenwriter, Olivier Gorce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivier Gorce Context triple: [Chocolat, screenwriter, Olivier Gorce]
-
A.
Jérôme Garcès
Jérôme Garcès is a French rugby union referee who officiated at the highest international level, including multiple Rugby World Cups.
-
B.
Laurent Chalumeau
Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
-
C.
Aurélien Drach
Aurélien Drach is the son of French actress Marie-José Nat and is known primarily in relation to his mother's cinematic legacy.
-
D.
Nicolas Dufourcq
Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
-
E.
Laurent Duret
Laurent Duret is a French evolutionary biologist and geneticist known for his work on genome evolution, mutation processes, and the forces shaping genomic landscapes in eukaryotes.
- 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: Olivier Gorce Triple: [Chocolat, screenwriter, Olivier Gorce]
Generated description
Olivier Gorce is a French screenwriter known for his work on acclaimed films such as "Chocolat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olivier Gorce Target entity description: Olivier Gorce is a French screenwriter known for his work on acclaimed films such as "Chocolat."
-
A.
Jérôme Garcès
Jérôme Garcès is a French rugby union referee who officiated at the highest international level, including multiple Rugby World Cups.
-
B.
Laurent Chalumeau
Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
-
C.
Aurélien Drach
Aurélien Drach is the son of French actress Marie-José Nat and is known primarily in relation to his mother's cinematic legacy.
-
D.
Nicolas Dufourcq
Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
-
E.
Laurent Duret
Laurent Duret is a French evolutionary biologist and geneticist known for his work on genome evolution, mutation processes, and the forces shaping genomic landscapes in eukaryotes.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf61504819093e70bee4c575d1c |
completed | April 28, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9a32e388190851ddaa6f23f9ad2 |
completed | May 18, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0aea9aad5c81908fca5ea2b594effb |
completed | May 18, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeb5137c08190b5b787c85f239a67 |
completed | May 18, 2026, 10:34 a.m. |
Created at: April 16, 2026, 8:38 p.m.