Triple
T29865046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Bouchard |
E758430
|
entity |
| Predicate | hasPlayedForOrganization |
P2170
|
FINISHED |
| Object | Edmonton Oilers organization |
—
|
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: Edmonton Oilers organization | Statement: [Evan Bouchard, hasPlayedForOrganization, Edmonton Oilers organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedForOrganization Context triple: [Evan Bouchard, hasPlayedForOrganization, Edmonton Oilers organization]
-
A.
leagueWorkedFor
Indicates that an individual has been employed by or has worked for a particular sports league.
-
B.
laterPlayedFor
Indicates that an individual was a member of or played for a team or organization at a time after a previously referenced team or organization.
-
C.
hasPlayedWithClub
Indicates that an individual has been a member of and participated in activities or competitions for a particular club.
-
D.
playedFor
chosen
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
E.
alsoPlayedAt
Indicates that an entity participated or performed at an additional event, venue, or time beyond a primary one already referenced.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 5:51 p.m.