Triple

T18509404
Position Surface form Disambiguated ID Type / Status
Subject Nicolas Karakatsanis E452294 entity
Predicate workedOn P3 FINISHED
Object Triple 9 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: Triple 9 | Statement: [Nicolas Karakatsanis, workedOn, Triple 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Triple 9
Context triple: [Nicolas Karakatsanis, workedOn, Triple 9]
  • A. Triple 9 chosen
    Triple 9 is a 2016 American crime thriller film featuring an ensemble cast in a heist plot involving corrupt police officers and criminals.
  • B. The Nines
    The Nines is a 2007 metafictional psychological thriller film that intertwines three overlapping stories to explore identity, reality, and the nature of creation.
  • C. Junction 9
    Junction 9 is a major interchange on the M20 motorway in Kent, England, providing access to the town of Ashford and surrounding areas.
  • D. Junction 9
    Junction 9 is a major interchange on the M60 motorway in Greater Manchester, providing access to local routes and nearby urban areas.
  • E. One-Nine-Nine-Nine
    One-Nine-Nine-Nine is a song that follows "All Night Long" in a musical track sequence, likely as part of the same album or release.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344c6b081908e780ed5c815a766 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.