Triple
T2594132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamika Catchings |
E58188
|
entity |
| Predicate | WNBADefensivePlayerOfTheYearAwards |
P39055
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Tamika Catchings, WNBADefensivePlayerOfTheYearAwards, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBADefensivePlayerOfTheYearAwards Context triple: [Tamika Catchings, WNBADefensivePlayerOfTheYearAwards, 5]
-
A.
WNBADefensivePlayerOfTheYear
chosen
Indicates that an entity has been recognized as the WNBA Defensive Player of the Year for a given season or time period.
-
B.
NBADefensivePlayerOfTheYearAwards
Indicates the number of times an entity has received the NBA Defensive Player of the Year award.
-
C.
WNBARookieOfTheYear
Indicates that the subject was selected as the WNBA Rookie of the Year for a given season.
-
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.
WNBARegularSeasonMVP
Indicates that an entity has been awarded the WNBA Most Valuable Player honor for performance during a regular season.
- 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.