Triple
T19997306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nykesha Sales |
E494227
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nykesha |
—
|
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: Nykesha | Statement: [Nykesha Sales, givenName, Nykesha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nykesha Context triple: [Nykesha Sales, givenName, Nykesha]
-
A.
Nykesha Sales
chosen
Nykesha Sales is a former American professional basketball player best known as a WNBA All-Star guard/forward and one of the early standout stars of the Connecticut Sun franchise.
-
B.
Keisha
Keisha is a feminine given name used in English-speaking communities, often associated with African-American culture.
-
C.
Nesha
Nesha is a given name that can refer to various people or entities, often used as a feminine personal name in different cultures.
-
D.
Nikkiya
Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
-
E.
Caskey
Caskey is an American rapper known for his association with Birdman’s Rich Gang collective and his gritty, introspective Southern hip-hop style.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe549108190947a4d1a587c08f8 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:32 p.m.