Triple
T31342868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benoît Groulx |
E799355
|
entity |
| Predicate | abbreviationOfLeagueCoachedIn |
P173436
|
FINISHED |
| Object | QMJHL |
—
|
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: QMJHL | Statement: [Benoît Groulx, abbreviationOfLeagueCoachedIn, QMJHL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationOfLeagueCoachedIn Context triple: [Benoît Groulx, abbreviationOfLeagueCoachedIn, QMJHL]
-
A.
leagueCoachedIn
Indicates the league in which a person or coach has coached a team.
-
B.
nicknameOfTeamCoached
Indicates that one entity is the nickname or moniker used to refer to the sports team that another entity coaches.
-
C.
headCoachInLeague
Indicates that a person serves as the head coach of a team that competes in the specified league.
-
D.
teamCoachedFrom
Indicates that a coaching relationship exists where a coach is responsible for training or managing a team originating from a specific organization, location, or context.
-
E.
leagueUsedFor
Indicates that a particular league is utilized as the context, setting, or organizing framework for some activity, event, or competition.
- F. None of above. chosen
Provenance (4 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_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 29, 2026, 9:17 p.m.