Triple

T5673570
Position Surface form Disambiguated ID Type / Status
Subject Che! E125031 entity
Predicate castMember P1668 FINISHED
Object Robert Loggia E235775 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: Robert Loggia | Statement: [Che!, castMember, Robert Loggia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Loggia
Context triple: [Che!, castMember, Robert Loggia]
  • A. Robert Loggia chosen
    Robert Loggia was an American character actor and director known for his gruff voice and memorable roles in films such as "Scarface," "Big," and "Independence Day."
  • B. Richard Crenna
    Richard Crenna was an American actor and director known for his roles in films such as the "Rambo" series and numerous television shows including "The Real McCoys."
  • C. Robert Culp
    Robert Culp was an American actor best known for his charismatic leading roles in 1960s television, particularly in stylish espionage and crime dramas.
  • D. Paul Sorvino
    Paul Sorvino was an American actor best known for his commanding character roles in films such as "Goodfellas" and for his work on stage and television.
  • E. Martin Balsam
    Martin Balsam was an American character actor known for his versatile supporting roles in classic films such as "Psycho," "12 Angry Men," and "A Thousand Clowns," for which he won an Academy Award.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023700ba88190ba7c829785f20c82 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a2ec0b4819091ae7d18cf76aecc completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:43 p.m.