Triple

T20397824
Position Surface form Disambiguated ID Type / Status
Subject The Lost Missile E500254 entity
Predicate hasCastMember P2308 FINISHED
Object Robert Loggia 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: Robert Loggia | Statement: [The Lost Missile, hasCastMember, Robert Loggia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Loggia
Context triple: [The Lost Missile, hasCastMember, 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. Anthony Cardinale
    Anthony Cardinale is an American attorney known for representing high-profile clients in complex criminal and civil cases.
  • D. 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.
  • E. 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.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798c2b28819092fab93f01218cde completed April 20, 2026, 7:07 p.m.
Created at: April 16, 2026, 11:29 a.m.