Triple
T35254428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Needham |
E1018184
|
entity |
| Predicate | playedOverGamesForTeam |
P122861
|
FINISHED |
| Object | 981 games for the Cleveland Barons |
—
|
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: 981 games for the Cleveland Barons | Statement: [Bill Needham, playedOverGamesForTeam, 981 games for the Cleveland Barons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedOverGamesForTeam Context triple: [Bill Needham, playedOverGamesForTeam, 981 games for the Cleveland Barons]
-
A.
startedGamesForTeam
Indicates that an athlete began a game in the starting lineup for a particular team.
-
B.
playedHomeGamesUntil
Indicates the period up to which a team or player hosted their home games at a particular venue.
-
C.
playedCareerGamesForTeam
chosen
Indicates that an athlete has played official career games as a member of the specified team.
-
D.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
-
E.
playedHomeGamesFrom
Indicates the time period during which a team or player hosted their home games at a particular venue.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:02 p.m.