Triple
T12293484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Williams |
E293024
|
entity |
| Predicate | numberOfTimesAwardedWNBAAllStar |
P15220
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Natalie Williams, numberOfTimesAwardedWNBAAllStar, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAwardedWNBAAllStar Context triple: [Natalie Williams, numberOfTimesAwardedWNBAAllStar, 3]
-
A.
numberOfWNBAAllStarSelections
chosen
Indicates the count of times an individual has been selected to participate in the WNBA All-Star Game.
-
B.
WNBAAllStarGameMVPInYear
Indicates that an entity was selected as the Most Valuable Player of the WNBA All-Star Game in a specified year.
-
C.
numberOfWNBAChampionships
Indicates the count of WNBA championship titles that an entity has won.
-
D.
WNBAFinalsAppearances
Indicates the number of times an entity has participated in the WNBA Finals series.
-
E.
WNBAFinalsAppearance
Indicates that an entity has participated in at least one WNBA Finals series.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d23def88190adbaa282dd03d6c6 |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c4ec6c4819085880bdefdd0f354 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.