Triple
T2249428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nneka Ogwumike |
E49581
|
entity |
| Predicate | WNBARookieOfTheYearAward |
P29353
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Nneka Ogwumike, WNBARookieOfTheYearAward, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBARookieOfTheYearAward Context triple: [Nneka Ogwumike, WNBARookieOfTheYearAward, 2012]
-
A.
WNBARookieOfTheYear
chosen
Indicates that the subject was selected as the WNBA Rookie of the Year for a given season.
-
B.
WNBARegularSeasonMVP
Indicates that an entity has been awarded the WNBA Most Valuable Player honor for performance during a regular season.
-
C.
WNBAFinalsMVP
Indicates that the subject was selected as the Most Valuable Player of the WNBA Finals series.
-
D.
WNBAAllStarGameMVPInYear
Indicates that an entity was selected as the Most Valuable Player of the WNBA All-Star Game in a specified year.
-
E.
WNBAInauguralPlayer
Indicates that a person was a member of a team roster during the inaugural season of the WNBA.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ef74988190a0af51d983cf5658 |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.