Triple

T22546922
Position Surface form Disambiguated ID Type / Status
Subject Patty McCormack E557452 entity
Predicate spouse P13 FINISHED
Object Bob Catania 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: Bob Catania | Statement: [Patty McCormack, spouse, Bob Catania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Catania
Context triple: [Patty McCormack, spouse, Bob Catania]
  • A. Bob Catania chosen
    Bob Catania is known as the husband of American actress Patty McCormack.
  • B. Tom Catalano
    Tom Catalano is an American record producer best known for his work with artists like Neil Diamond, including producing the hit song "Sweet Caroline."
  • C. Danny Pintauro
    Danny Pintauro is an American actor best known for playing Jonathan Bower on the popular 1980s sitcom "Who's the Boss?".
  • D. Paul De Meo
    Paul De Meo was an American screenwriter and producer best known for co-writing action and war-themed films and television projects, often in collaboration with J. Michael Straczynski and others.
  • E. Robert Mammone
    Robert Mammone is an Australian actor known for his work in film and television, including roles in war dramas and action-oriented productions.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f366f208190abbc6eb4780b2d48 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.