Triple

T10354892
Position Surface form Disambiguated ID Type / Status
Subject Days of Wine and Roses E243975 entity
Predicate starredActor P5563 FINISHED
Object Jack Klugman E207433 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: Jack Klugman | Statement: [Days of Wine and Roses, starredActor, Jack Klugman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Klugman
Context triple: [Days of Wine and Roses, starredActor, Jack Klugman]
  • A. Jack Klugman chosen
    Jack Klugman was an American actor best known for his Emmy-winning television roles in "The Odd Couple" and "Quincy, M.E."
  • B. Leonard Orbach
    Leonard Orbach was the father of American actor Jerry Orbach and is primarily known in relation to his son’s life and career.
  • C. Judd Hirsch
    Judd Hirsch is an American actor best known for his Emmy-winning role on the sitcom "Taxi" and his work in film, television, and theater over several decades.
  • D. Ernest Borgnine
    Ernest Borgnine was an American actor known for his gruff but endearing screen presence and an Academy Award–winning performance in the film "Marty."
  • E. Harold Gould
    Harold Gould was an American character actor best known for his prolific work in film and television from the 1960s through the 1990s, including memorable roles in projects like "The Sting" and the TV series "The Golden Girls."
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.