Triple
T10753547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc-André Fleury |
E253630
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Marc-André |
E253629
|
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-André | Statement: [Marc-André Fleury, givenName, Marc-André]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc-André Context triple: [Marc-André Fleury, givenName, Marc-André]
-
A.
Marc-André
chosen
Marc-André is a French-origin given name commonly used in Canada and other Francophone regions, often associated with notable public figures and athletes.
-
B.
Marc Thibault
Marc Thibault is a notable individual recognized as a prominent bearer of the surname Thibault.
-
C.
Marc Tardif
Marc Tardif is a former Canadian professional ice hockey forward best known as one of the most prolific scorers in World Hockey Association history.
-
D.
Cédric Champeau
Cédric Champeau is a prominent software engineer best known for his major contributions to the Groovy programming language and its ecosystem.
-
E.
Stéphane Perrault
Stéphane Perrault is a Canadian public official who serves as the Chief Electoral Officer of Canada, overseeing the administration and integrity of federal elections.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc2543c8190bb060aa7a1fed6a6 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2338b2cc8190ad40ff9a421a4152 |
completed | April 14, 2026, 11:21 a.m. |
Created at: April 8, 2026, 9:15 p.m.