Triple
T13779978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fashion Police |
E331107
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | E! network |
E65801
|
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: E! network | Statement: [Fashion Police, network, E! network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E! network Context triple: [Fashion Police, network, E! network]
-
A.
E!
chosen
E! is an American cable television network best known for its entertainment news, celebrity gossip, and pop culture–focused reality programming.
-
B.
Entertainment Tonight
Entertainment Tonight is a long-running American entertainment news television program that covers celebrity news, Hollywood events, and the film and television industry.
-
C.
Us Weekly
Us Weekly is an American celebrity and entertainment news magazine known for its coverage of Hollywood gossip, fashion, and pop culture.
-
D.
People magazine
People magazine is a popular American weekly publication best known for its celebrity news, human-interest stories, and annual features like "Sexiest Man Alive."
-
E.
TMZ on TV
TMZ on TV is an American entertainment news television program known for its fast-paced coverage of celebrity gossip, scandals, and breaking Hollywood stories.
- 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_69fd54f748d481909661deb151da34c1 |
completed | May 8, 2026, 3:13 a.m. |
Created at: April 9, 2026, 10:11 p.m.