Triple

T10558856
Position Surface form Disambiguated ID Type / Status
Subject Coleen Nolan E249159 entity
Predicate televisionShow P3279 FINISHED
Object Loose Women E586187 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: Loose Women | Statement: [Coleen Nolan, televisionShow, Loose Women]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loose Women
Context triple: [Coleen Nolan, televisionShow, Loose Women]
  • A. Loose Women chosen
    Loose Women is a long-running British daytime talk show featuring a panel of female hosts discussing current affairs, entertainment, and personal topics.
  • B. Loose Woman
    Loose Woman is a poetry collection by Sandra Cisneros that explores themes of female identity, sexuality, and cultural heritage with bold, unapologetic voice.
  • C. Woman's Hour
    Woman's Hour is a long-running BBC Radio 4 magazine programme that focuses on issues, stories, and culture from women's perspectives.
  • D. The Rosie Show
    The Rosie Show was an American talk show hosted by comedian and actress Rosie O'Donnell that aired on the Oprah Winfrey Network (OWN).
  • E. The Mary Whitehouse Experience
    The Mary Whitehouse Experience was a popular late-1980s/early-1990s British radio and television comedy sketch show known for its sharp, satirical humor and for launching the careers of several prominent comedians.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271e65688190bcf7931373d87f94 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93486c7288190a2ccb822fc968919 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:35 p.m.