Triple

T26702841
Position Surface form Disambiguated ID Type / Status
Subject Liam Neeson as Nels Coxman E673206 entity
Predicate partOfFilmMarketing P189704 FINISHED
Object Cold Pursuit promotional materials LITERAL 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: Cold Pursuit promotional materials | Statement: [Liam Neeson as Nels Coxman, partOfFilmMarketing, Cold Pursuit promotional materials]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfFilmMarketing
Context triple: [Liam Neeson as Nels Coxman, partOfFilmMarketing, Cold Pursuit promotional materials]
  • A. partOfFilmographyOf
    Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
  • B. basedInFilm
    Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
  • C. basedOnInFilm
    Indicates that a film is derived from, adapted from, or otherwise uses as its source material another work, event, or concept.
  • D. placementInFilm
    Indicates the specific position or occurrence of something within the sequence or structure of a film.
  • E. filmWithinFilmTitle
    Indicates that a title refers to a fictional film that appears within another (primary) film.
  • F. None of above. chosen

Provenance (4 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_69eecda2b49c8190a6c481cfc4c07954 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69fbca6c066c8190a1599202f341417f completed May 6, 2026, 11:10 p.m.
PD Predicate disambiguation batch_69fbc8ec03ac8190a757563f96fab283 completed May 6, 2026, 11:04 p.m.
PDg Predicate description generation batch_69fbc9d0854c8190aa00093274afebb8 completed May 6, 2026, 11:08 p.m.
Created at: April 27, 2026, 3:32 a.m.