Triple
T14455673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priceless |
E358452
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Philippe Martin |
E636915
|
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: Philippe Martin | Statement: [Priceless, producer, Philippe Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Martin Context triple: [Priceless, 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 Denis
Philippe Denis is a cinematographer best known for his work on the animated film "Megamind."
-
D.
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.
-
E.
Philippe Vanier
Philippe Vanier is a member of the prominent Vanier family of Canada, known primarily as the son of humanitarian and former viceregal consort Pauline Vanier.
- 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_69fdf070e23481908528274ce5e10731 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:19 a.m.