Triple

T21322031
Position Surface form Disambiguated ID Type / Status
Subject Dan O'Herlihy E525640 entity
Predicate role P268 FINISHED
Object The Old Man in RoboCop NE NERFINISHED

How this triple was built (3 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: The Old Man in RoboCop | Statement: [Dan O'Herlihy, role, The Old Man in RoboCop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Old Man in RoboCop
Context triple: [Dan O'Herlihy, role, The Old Man in RoboCop]
  • A. Alex Murphy / RoboCop
    Alex Murphy, better known as RoboCop, is a cyborg law enforcement officer from the science fiction film series who embodies themes of identity, justice, and the fusion of man and machine.
  • B. Richard "Dick" Jones in RoboCop
    Richard "Dick" Jones is the ruthless senior executive at Omni Consumer Products and primary human antagonist in the 1987 science fiction film RoboCop.
  • C. Father Roach
    Father Roach is a fictional Catholic priest character in Joseph Sheridan Le Fanu’s Victorian gothic novel "The House by the Churchyard."
  • D. Eldon Tyrell in replicant industry
    Eldon Tyrell is the pioneering genetic designer and industrialist who founded the Tyrell Corporation and created the first advanced replicants in the Blade Runner universe.
  • E. Gadget Man
    Gadget Man is a British television series that humorously reviews and demonstrates consumer technology and innovative gadgets in everyday situations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Old Man in RoboCop
Target entity description: The Old Man in RoboCop is the powerful, unnamed CEO of Omni Consumer Products who embodies the corporate authority and moral ambiguity at the heart of the film’s dystopian satire.
  • A. Alex Murphy / RoboCop
    Alex Murphy, better known as RoboCop, is a cyborg law enforcement officer from the science fiction film series who embodies themes of identity, justice, and the fusion of man and machine.
  • B. Richard "Dick" Jones in RoboCop
    Richard "Dick" Jones is the ruthless senior executive at Omni Consumer Products and primary human antagonist in the 1987 science fiction film RoboCop.
  • C. Father Roach
    Father Roach is a fictional Catholic priest character in Joseph Sheridan Le Fanu’s Victorian gothic novel "The House by the Churchyard."
  • D. Eldon Tyrell in replicant industry
    Eldon Tyrell is the pioneering genetic designer and industrialist who founded the Tyrell Corporation and created the first advanced replicants in the Blade Runner universe.
  • E. Gadget Man
    Gadget Man is a British television series that humorously reviews and demonstrates consumer technology and innovative gadgets in everyday situations.
  • F. None of above. chosen

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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed2640c8190a81b087e2c49c500 completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:40 p.m.