Triple
T15599469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niecy Nash |
E374992
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Niecy Nash |
E374992
|
NE 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: Niecy Nash | Statement: [Niecy Nash, name, Niecy Nash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niecy Nash Context triple: [Niecy Nash, name, Niecy Nash]
-
A.
Niecy Nash
chosen
Niecy Nash is an American actress, comedian, and television host known for her roles in series like Reno 911!, Claws, and When They See Us.
-
B.
Saffron Aldridge
Saffron Aldridge is a British fashion model known for her work in the 1990s, including campaigns for brands like Ralph Lauren and Calvin Klein.
-
C.
Me'arah O'Neal
Me'arah O'Neal is an American basketball player and social media personality, best known as the youngest daughter of NBA Hall of Famer Shaquille O'Neal.
-
D.
Vonetta McGee
Vonetta McGee was an American actress known for her prominent roles in 1970s blaxploitation films and later dramatic works in film and television.
-
E.
Sharia Bryant
Sharia Bryant is one of the daughters of former NBA star Kobe Bryant’s parents, making her Kobe Bryant’s sister.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ccc40c8190a3b1339404e6897f |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.