Triple
T2594136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamika Catchings |
E58188
|
entity |
| Predicate | WNBATop15PlayersOfAllTime |
P40083
|
FINISHED |
| Object | member |
—
|
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: member | Statement: [Tamika Catchings, WNBATop15PlayersOfAllTime, member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBATop15PlayersOfAllTime Context triple: [Tamika Catchings, WNBATop15PlayersOfAllTime, member]
-
A.
WNBAAllWNBAFirstTeamSelection
Indicates that an individual has been chosen for the WNBA All-WNBA First Team in a given season, recognizing them as one of the league’s top players at their position.
-
B.
WNBAAllTimeScoringLeader
Indicates that the subject is recognized as the player with the highest total points scored in WNBA history.
-
C.
numberOfWNBAAllStarSelections
Indicates the count of times an individual has been selected to participate in the WNBA All-Star Game.
-
D.
WNBAAllDefensiveTeamSelection
Indicates that a player has been chosen for one of the WNBA All-Defensive Teams in a given season, recognizing their defensive performance.
-
E.
WNBAInauguralPlayer
Indicates that a person was a member of a team roster during the inaugural season of the WNBA.
- F. None of above. chosen
Provenance (4 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd427f58c8190af1c1a9724158c96 |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:49 p.m.