Triple
T11289645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Wittman |
E267290
|
entity |
| Predicate | universityTeamRole |
P13665
|
FINISHED |
| Object | leading scorer for Cornell Big Red |
—
|
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: leading scorer for Cornell Big Red | Statement: [Ryan Wittman, universityTeamRole, leading scorer for Cornell Big Red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityTeamRole Context triple: [Ryan Wittman, universityTeamRole, leading scorer for Cornell Big Red]
-
A.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
B.
collegeTeammateOf
Indicates that two individuals were teammates on the same college sports team.
-
C.
workedForCollegeTeam
Indicates that an individual was employed by or served in a working role for a college sports team.
-
D.
memberOfSportsTeamAsPlayer
Indicates that a person participates as a player on a specific sports team.
-
E.
memberOfSportsLeague
Indicates that an entity is formally part of, or participates as a member in, a specific sports league.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98875a08190b8509fe55e49d52d |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.