Triple

T1005840
Position Surface form Disambiguated ID Type / Status
Subject CinemaScope E21708 entity
Predicate firstFeatureFilmReleaseYear P13249 FINISHED
Object 1953 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: 1953 | Statement: [CinemaScope, firstFeatureFilmReleaseYear, 1953]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstFeatureFilmReleaseYear
Context triple: [CinemaScope, firstFeatureFilmReleaseYear, 1953]
  • A. yearOfFilmAppearance
    Indicates the specific year in which a film appearance by an entity took place.
  • B. filmDebut
    Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
  • C. firstSeriesYear
    Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
  • D. filmReleaseYear chosen
    Indicates the calendar year in which a film was first officially released to the public.
  • E. worldPremiereYear
    Indicates the calendar year in which a work, event, or production was first publicly premiered anywhere in the world.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b51303548190a5ee3c0797fc3245 completed March 1, 2026, 9:52 p.m.
PD Predicate disambiguation batch_69a4b2b2e7108190b338b6c19d4aff55 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.