Triple
T13779992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fashion Police |
E331107
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | NeNe Leakes |
E1026646
|
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: NeNe Leakes | Statement: [Fashion Police, starring, NeNe Leakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NeNe Leakes Context triple: [Fashion Police, starring, NeNe Leakes]
-
A.
NeNe Leakes
chosen
NeNe Leakes is an American television personality, actress, and entrepreneur best known for her outspoken, larger-than-life presence on reality TV and various entertainment ventures.
-
B.
Leslie Banks
Leslie Banks was a British stage and film actor best known for his distinctive scarred appearance and roles in early 20th-century cinema, including classic thrillers and dramas.
-
C.
Kay Nelson
Kay Nelson was a Hollywood costume designer known for her work on classic films of the 1940s.
-
D.
Blake Neely
Blake Neely is an American composer best known for his television and film scores, including work on series like "Arrow," "The Flash," and "Riverdale."
-
E.
Tige Andrews
Tige Andrews was an American character actor best known for his roles on the television series "The Mod Squad" and "The Detectives."
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07670b08190a205d3c7ccb9dded |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.