Triple

T13076229
Position Surface form Disambiguated ID Type / Status
Subject Paul Verhoeven E329582 entity
Predicate directed P7373 FINISHED
Object RoboCop E251783 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: RoboCop | Statement: [Paul Verhoeven, directed, RoboCop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RoboCop
Context triple: [Paul Verhoeven, directed, RoboCop]
  • A. RoboCop
    "RoboCop" is a song by Kanye West from his 2008 album *808s & Heartbreak*, blending electronic production with themes of emotional turmoil and relationship conflict.
  • B. RoboCop 3
    RoboCop 3 is a 1993 science fiction action film in the RoboCop franchise, featuring the cyborg police officer battling corporate corruption and urban crime in a dystopian Detroit.
  • C. RoboCop 2
    RoboCop 2 is a 1990 science fiction action film and sequel to the original RoboCop, featuring the cyborg police officer battling crime and corporate corruption in a dystopian Detroit.
  • D. RoboCop (2014 film)
    RoboCop (2014 film) is a science fiction action remake of the 1987 classic, depicting a critically injured police officer transformed into a powerful cyborg law enforcer in a near-future dystopian society.
  • E. film "RoboCop" chosen
    "RoboCop" is a 1987 science fiction action film set in a dystopian Detroit, following a murdered police officer resurrected as a cyborg law enforcer who struggles to reclaim his humanity while battling corporate corruption and urban crime.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98117209081908272021013df2222 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27058dc8190a64e1a929f296619 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:01 p.m.