Triple

T8987474
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Hurley E214704 entity
Predicate notableWork P4 FINISHED
Object EDtv E357003 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: EDtv | Statement: [Elizabeth Hurley, notableWork, EDtv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDtv
Context triple: [Elizabeth Hurley, notableWork, EDtv]
  • A. Edtv chosen
    Edtv is a 1999 American comedy film directed by Ron Howard about an ordinary man whose life is turned into a nonstop reality TV show.
  • B. ES.TV
    ES.TV is an entertainment-focused television network and media brand known for celebrity interviews, movie-related content, and pop culture programming.
  • C. We TV
    We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
  • D. CDTV
    CDTV is a multimedia home entertainment and computing system developed by Commodore based on Amiga technology, combining a CD-ROM player with a personal computer.
  • E. Eastern TV
    Eastern TV is a television production company best known for creating and producing reality TV series, including entries in the "Love & Hip Hop" franchise.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ef19108190ac518c4f744b6d60 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c155cc819087f1060454da38e5 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:04 p.m.