Triple
T31342936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Théodore |
E799356
|
entity |
| Predicate | playedInJuniorLeague |
P151093
|
FINISHED |
| Object | Quebec Major Junior Hockey League |
—
|
NE NERFINISHED |
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: Quebec Major Junior Hockey League | Statement: [José Théodore, playedInJuniorLeague, Quebec Major Junior Hockey League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedInJuniorLeague Context triple: [José Théodore, playedInJuniorLeague, Quebec Major Junior Hockey League]
-
A.
playedForJuniorTeam
Indicates that an individual was a member of and played for a specific junior-level sports team.
-
B.
playedJuniorHockeyIn
chosen
Indicates that a person participated in junior-level ice hockey for a team or in a league located in a specified place.
-
C.
developmentLeagueFor
Indicates that one entity serves as a developmental or minor league affiliate for another, typically higher-level, sports team or organization.
-
D.
hasJuniorAgeCategory
Indicates that an entity is associated with, or classified under, a junior age category within a given context or system.
-
E.
playedInMinorLeagues
Indicates that an individual participated as a player in one or more minor league sports teams or competitions.
- F. None of above.
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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 29, 2026, 9:17 p.m.