Triple
T17898249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalani Brown |
E447489
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | Dallas Wings |
—
|
NE NERFINISHED |
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: Dallas Wings | Statement: [Kalani Brown, playedFor, Dallas Wings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dallas Wings Context triple: [Kalani Brown, playedFor, Dallas Wings]
-
A.
Dallas Wings
chosen
The Dallas Wings are a professional women's basketball team in the WNBA based in the Dallas–Fort Worth area.
-
B.
San Antonio Silver Stars
The San Antonio Silver Stars were a professional women's basketball team in the WNBA based in San Antonio, Texas.
-
C.
Washington Mystics
The Washington Mystics are a professional women's basketball team based in Washington, D.C., competing in the WNBA.
-
D.
Los Angeles Sparks
The Los Angeles Sparks are a professional women's basketball team based in Los Angeles that competes in the WNBA and is known as one of the league's most successful and storied franchises.
-
E.
Phoenix Mercury
The Phoenix Mercury are a professional women's basketball team based in Phoenix, Arizona, competing in the WNBA and known for multiple championships and star players.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d8122b481909992356f3f575858 |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 10, 2026, 10:19 a.m.