Triple
T19997340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nykesha Sales |
E494227
|
entity |
| Predicate | sportNumberOfSeasonsInWNBA |
P138279
|
FINISHED |
| Object | multiple seasons |
—
|
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: multiple seasons | Statement: [Nykesha Sales, sportNumberOfSeasonsInWNBA, multiple seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportNumberOfSeasonsInWNBA Context triple: [Nykesha Sales, sportNumberOfSeasonsInWNBA, multiple seasons]
-
A.
WNBAFinalsAppearances
Indicates the number of times an entity has participated in the WNBA Finals series.
-
B.
numberOfWNBAChampionships
Indicates the count of WNBA championship titles that an entity has won.
-
C.
WNBAFranchiseDebutYear
Indicates the year in which a WNBA franchise first began play in the league.
-
D.
numberOfWNBAAllStarSelections
Indicates the count of times an individual has been selected to participate in the WNBA All-Star Game.
-
E.
WNBAretirementSeason
Indicates the specific WNBA season in which a player officially retires from professional play.
- F. None of above. chosen
Provenance (4 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe549108190947a4d1a587c08f8 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:32 p.m.