Triple
T13969126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pagé |
E336005
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Pierre Pagé
Pierre Pagé is a Canadian ice hockey coach and executive known for his roles behind the bench and in management in the NHL and European leagues.
|
E1095681
|
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: Pierre Pagé | Statement: [Pagé, hasNotableBearer, Pierre Pagé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Pagé Context triple: [Pagé, hasNotableBearer, Pierre Pagé]
-
A.
Michel Auclair
Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
-
B.
Jacques Poirrier
Jacques Poirrier was an architect involved in the postwar urban design and reconstruction of the city center of Le Havre, France.
-
C.
Ludovic Vachon
Ludovic Vachon is a person notable enough to be recognized as a bearer of the surname Vachon.
-
D.
Pierre LeBrun
Pierre LeBrun was an American architect of the early 20th century known for designing prominent skyscrapers and commercial buildings, particularly in New York City.
-
E.
Pierre Pilote
Pierre Pilote was a Hall of Fame Canadian defenceman best known as a longtime Chicago Black Hawks star and one of the NHL’s dominant blueliners of the 1960s.
- 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: Pierre Pagé Triple: [Pagé, hasNotableBearer, Pierre Pagé]
Generated description
Pierre Pagé is a Canadian ice hockey coach and executive known for his roles behind the bench and in management in the NHL and European leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pierre Pagé Target entity description: Pierre Pagé is a Canadian ice hockey coach and executive known for his roles behind the bench and in management in the NHL and European leagues.
-
A.
Michel Auclair
Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
-
B.
Jacques Poirrier
Jacques Poirrier was an architect involved in the postwar urban design and reconstruction of the city center of Le Havre, France.
-
C.
Ludovic Vachon
Ludovic Vachon is a person notable enough to be recognized as a bearer of the surname Vachon.
-
D.
Pierre LeBrun
Pierre LeBrun was an American architect of the early 20th century known for designing prominent skyscrapers and commercial buildings, particularly in New York City.
-
E.
Pierre Pilote
Pierre Pilote was a Hall of Fame Canadian defenceman best known as a longtime Chicago Black Hawks star and one of the NHL’s dominant blueliners of the 1960s.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8daeac8190aadd4b3b60222482 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c229f448190b7ea1a1bf9d086cf |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4d912ff08190b3594dd134ef7e40 |
completed | May 8, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4e7e7c508190a42070a2f2b33425 |
completed | May 8, 2026, 2:46 a.m. |
Created at: April 9, 2026, 10:18 p.m.