Triple

T10583237
Position Surface form Disambiguated ID Type / Status
Subject Scarface E249787 entity
Predicate starring P1507 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: [Scarface, starring, Robert Loggia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Loggia
Context triple: [Scarface, starring, 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52767d2e0819099511e29e254bc34 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6e6b0b081909c89d0e116cde87f completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:39 p.m.