Triple
T35618522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvain Turgeon |
E1029242
|
entity |
| Predicate | hasPlayedForOrganizationType |
P2170
|
FINISHED |
| Object | professional sports team |
—
|
LITERAL 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: professional sports team | Statement: [Sylvain Turgeon, hasPlayedForOrganizationType, professional sports team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedForOrganizationType Context triple: [Sylvain Turgeon, hasPlayedForOrganizationType, professional sports team]
-
A.
hasPlayedWithClub
Indicates that an individual has been a member of and participated in activities or competitions for a particular club.
-
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.
leagueWorkedFor
Indicates that an individual has been employed by or has worked for a particular sports league.
-
D.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
-
E.
playedFor
chosen
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 3, 2026, 4:05 p.m.