Triple
T14641405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stan & Ollie |
E343731
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Xavier Marchand
Xavier Marchand is a film producer known for his work on the biographical comedy-drama "Stan & Ollie."
|
E1112677
|
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: Xavier Marchand | Statement: [Stan & Ollie, producer, Xavier Marchand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xavier Marchand Context triple: [Stan & Ollie, producer, Xavier Marchand]
-
A.
Maxime Giroux
Maxime Giroux is a Canadian film director and screenwriter known for his independent, character-driven dramas.
-
B.
Emmanuel Giroux
Emmanuel Giroux is a French mathematician known for his influential work in contact geometry and topology.
-
C.
Brad Marchand
Brad Marchand is a Canadian professional ice hockey winger known for his scoring ability, agitator style of play, and long tenure with the NHL’s Boston Bruins.
-
D.
Morgan Rielly
Morgan Rielly is a Canadian professional ice hockey defenceman known for playing with the Toronto Maple Leafs in the NHL.
-
E.
Brandon Montour
Brandon Montour is a Canadian professional ice hockey defenseman in the NHL, known for his offensive skills and puck-moving ability.
- 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: Xavier Marchand Triple: [Stan & Ollie, producer, Xavier Marchand]
Generated description
Xavier Marchand is a film producer known for his work on the biographical comedy-drama "Stan & Ollie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xavier Marchand Target entity description: Xavier Marchand is a film producer known for his work on the biographical comedy-drama "Stan & Ollie."
-
A.
Maxime Giroux
Maxime Giroux is a Canadian film director and screenwriter known for his independent, character-driven dramas.
-
B.
Emmanuel Giroux
Emmanuel Giroux is a French mathematician known for his influential work in contact geometry and topology.
-
C.
Brad Marchand
Brad Marchand is a Canadian professional ice hockey winger known for his scoring ability, agitator style of play, and long tenure with the NHL’s Boston Bruins.
-
D.
Morgan Rielly
Morgan Rielly is a Canadian professional ice hockey defenceman known for playing with the Toronto Maple Leafs in the NHL.
-
E.
Brandon Montour
Brandon Montour is a Canadian professional ice hockey defenseman in the NHL, known for his offensive skills and puck-moving ability.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d2059081908150b6534aebb32f |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdda11b3a481908f9b9184801dc24b |
completed | May 8, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fddab28b0881908d873d43edd45c0c |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:26 a.m.