Triple
T21919434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Après vous... |
E541262
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Philippe Martin |
—
|
NE NERFINISHED |
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: Philippe Martin | Statement: [Après vous..., producer, Philippe Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Martin Context triple: [Après vous..., producer, Philippe Martin]
-
A.
Philippe Martin
Philippe Martin is the central protagonist of the romantic drama film "When Tomorrow Comes."
-
B.
Philippe Martin
chosen
Philippe Martin is a French film producer known for his work on acclaimed European cinema.
-
C.
Philippe Rio
Philippe Rio is a French politician known for serving as the long-time communist mayor of the disadvantaged Paris suburb of Grigny and for his work on social cohesion and urban policy.
-
D.
Philippe Denis
Philippe Denis is a cinematographer best known for his work on the animated film "Megamind."
-
E.
Stéphane Préfontaine
Stéphane Préfontaine is a Canadian former middle-distance runner best known for serving as one of the final torchbearers who lit the Olympic cauldron at the 1976 Montreal Summer Olympics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12339d88881909e726c9b081bd177 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:44 p.m.