Triple
T2594131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamika Catchings |
E58188
|
entity |
| Predicate | WNBAAllDefensiveFirstTeamSelections |
P36492
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Tamika Catchings, WNBAAllDefensiveFirstTeamSelections, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBAAllDefensiveFirstTeamSelections Context triple: [Tamika Catchings, WNBAAllDefensiveFirstTeamSelections, 10]
-
A.
WNBAAllDefensiveTeamSelection
chosen
Indicates that a player has been chosen for one of the WNBA All-Defensive Teams in a given season, recognizing their defensive performance.
-
B.
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.
-
C.
WNBAAllStarGameMVPInYear
Indicates that an entity was selected as the Most Valuable Player of the WNBA All-Star Game in a specified year.
-
D.
WNBAFinalsMVP
Indicates that the subject was selected as the Most Valuable Player of the WNBA Finals series.
-
E.
NBAAllDefensiveFirstTeamSelections
Indicates the number of times an entity has been selected to the NBA All-Defensive First Team.
- 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_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. |
Created at: March 6, 2026, 9:49 p.m.