Triple

T2547302
Position Surface form Disambiguated ID Type / Status
Subject Trigger E57934 entity
Predicate appearedInMedium P12583 FINISHED
Object film 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: film | Statement: [Trigger, appearedInMedium, film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appearedInMedium
Context triple: [Trigger, appearedInMedium, film]
  • A. publishedIn
    Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
  • B. usedInMediaOf chosen
    Indicates that something (e.g., a work, element, or content) is employed or appears within a particular media work or production.
  • C. firstAppearanceMedium
    Indicates the medium (such as book, film, or game) in which an entity first appeared.
  • D. appearedWith
    Indicates that two entities were present or participated together in the same context, event, or medium.
  • E. mediaCovered
    Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
  • F. None of above.

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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e672948190bb7fe9b47535a172 completed March 7, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69abd0c63964819092d5f578195ae8dd completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:47 p.m.