Triple

T13779977
Position Surface form Disambiguated ID Type / Status
Subject Fashion Police E331107 entity
Predicate originalNetwork P2594 FINISHED
Object E! 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! | Statement: [Fashion Police, originalNetwork, E!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E!
Context triple: [Fashion Police, originalNetwork, E!]
  • 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. Ficarazzi
    Ficarazzi is a coastal town and municipality in northern Sicily, Italy, situated just east of the city of Palermo.
  • E. 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."
  • 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_69fd4c20e45c8190968a5d88a2b3fe37 completed May 8, 2026, 2:36 a.m.
Created at: April 9, 2026, 10:11 p.m.