Triple
T14456062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delicacy (2011 film) |
E358461
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Marc-Antoine Robert |
E1125135
|
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: Marc-Antoine Robert | Statement: [Delicacy (2011 film), producer, Marc-Antoine Robert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc-Antoine Robert Context triple: [Delicacy (2011 film), producer, Marc-Antoine Robert]
-
A.
Marc-Antoine Robert
chosen
Marc-Antoine Robert is a French film producer known for his work on acclaimed contemporary cinema.
-
B.
Benoît Gabriel
Benoît Gabriel is a member of the notable Gabriel family of French architects, known for their influential contributions to classical architecture.
-
C.
Antoine Daniel
Antoine Daniel was a 17th-century French Jesuit missionary and martyr who worked among Indigenous peoples in New France (present-day Canada).
-
D.
Pierre-Louis
Pierre-Louis is a French given name commonly used as a compound first name in Francophone countries.
-
E.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bbfc6048190897f064a5686ebf8 |
completed | May 9, 2026, 1:19 a.m. |
Created at: April 10, 2026, 1:19 a.m.