Triple
T11121487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Rivers |
E263026
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fashion Police |
E331107
|
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: Fashion Police | Statement: [Joan Rivers, notableWork, Fashion Police]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fashion Police Context triple: [Joan Rivers, notableWork, Fashion Police]
-
A.
Fashion Police
chosen
Fashion Police is an American television series on the E! network that humorously critiques and comments on celebrity fashion and red carpet looks.
-
B.
Fashion Victim
Fashion Victim is a 2008 British comedy film about a man whose obsession with designer clothes leads to crime and chaos.
-
C.
Fashion (The Guardian)
Fashion (The Guardian) is The Guardian’s dedicated section covering style, clothing, trends, and the fashion industry with news, features, and commentary.
-
D.
Fashion Avenue
Fashion Avenue is the nickname for Manhattan’s Seventh Avenue, a major New York City thoroughfare historically associated with the garment and fashion industry.
-
E.
Couture
Couture is a French surname most notably borne by 19th-century painter Thomas Couture, renowned for his historical and genre scenes.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af911b881908168f23a4918231c |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8406988190837a16d7ad8048d1 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 8, 2026, 9:28 p.m.