Triple
T27170955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seimone Delicia Augustus |
E682906
|
entity |
| Predicate | WNBAAllStarYear |
P62658
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Seimone Delicia Augustus, WNBAAllStarYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBAAllStarYear Context triple: [Seimone Delicia Augustus, WNBAAllStarYear, 2007]
-
A.
WNBAAllStarGameMVPInYear
Indicates that an entity was selected as the Most Valuable Player of the WNBA All-Star Game in a specified year.
-
B.
isWNBAAllStar
chosen
Indicates that an individual has been selected as an All-Star player in the Women's National Basketball Association (WNBA).
-
C.
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.
-
D.
numberOfWNBAAllStarSelections
Indicates the count of times an individual has been selected to participate in the WNBA All-Star Game.
-
E.
WNBAAllDecadeTeam
Indicates that an individual was selected to a WNBA All-Decade Team, recognizing them as one of the league’s top players over a specific ten-year period.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62546c84081908bf91b3985efd0cb |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 9:23 a.m.