Triple
T24584475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanisha Wright |
E608345
|
entity |
| Predicate | worksAsCoachIn |
P102099
|
FINISHED |
| Object | WNBA |
—
|
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: WNBA | Statement: [Tanisha Wright, worksAsCoachIn, WNBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksAsCoachIn Context triple: [Tanisha Wright, worksAsCoachIn, WNBA]
-
A.
basedInAsCoach
Indicates that a person holds a coaching position for an organization or team that is located in a specified place.
-
B.
isCoach
Indicates that one entity serves as the coach (trainer or instructor) of another entity.
-
C.
isActiveAsCoach
chosen
Indicates that an entity is currently functioning in the role of a coach within a given context or organization.
-
D.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
E.
coachingAt
Indicates that one entity is serving as a coach at, or providing coaching services within, a particular organization, institution, or location.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a98600888190aa631d2c237af60a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.