Triple

T12929217
Position Surface form Disambiguated ID Type / Status
Subject Julie Bovasso E309327 entity
Predicate spouse P13 FINISHED
Object Louis Zorich E945258 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: Louis Zorich | Statement: [Julie Bovasso, spouse, Louis Zorich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Zorich
Context triple: [Julie Bovasso, spouse, Louis Zorich]
  • A. Louis Zorich chosen
    Louis Zorich was an American actor known for his work on stage, film, and television, including his role on the sitcom "Mad About You."
  • B. Louis Dombrowski
    Louis Dombrowski is an individual notable enough to be recognized as a prominent bearer of the surname Dombrowski.
  • C. Joseph Grusinsky
    Joseph Grusinsky is a central character in the crime drama film "We Own the Night," depicted as a dedicated New York City police officer from a law-enforcement family.
  • D. Louis Butz
    Louis Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
  • E. Cyril Ehrlich
    Cyril Ehrlich was a British music historian and economist known for his influential studies on the social and economic history of music and musicians.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af687f548190b70ac8fa9bbbd414 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:42 p.m.