Triple

T21115286
Position Surface form Disambiguated ID Type / Status
Subject Verna Bloom E520279 entity
Predicate spouse P13 FINISHED
Object Jay Cocks NE NERFINISHED

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: Jay Cocks | Statement: [Verna Bloom, spouse, Jay Cocks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Cocks
Context triple: [Verna Bloom, spouse, Jay Cocks]
  • A. Jay Cocks chosen
    Jay Cocks is an American screenwriter and film critic best known for his collaborations with director Martin Scorsese on historical and character-driven dramas.
  • B. Mick Cocks
    Mick Cocks was an Australian rock guitarist best known for his work with the hard rock band Rose Tattoo and his influential role in the country’s pub rock scene.
  • C. Michael Graham Cox
    Michael Graham Cox was a British actor best known for his voice and character roles in film, television, and radio, including work on animated adaptations of classic literature.
  • D. Rob Cookson
    Rob Cookson is a Canadian ice hockey coach and former assistant coach in the NHL and international leagues, known for his work in player development and video analysis.
  • E. Danny Cox
    Danny Cox is a former Major League Baseball right-handed pitcher best known for his years with the St. Louis Cardinals during the 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72105bd648190beecc636284397bd completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.