Triple

T16612385
Position Surface form Disambiguated ID Type / Status
Subject You Never Can Tell E403607 entity
Predicate filmAppearanceContext P29643 FINISHED
Object Pulp Fiction twist contest scene 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: Pulp Fiction twist contest scene | Statement: [You Never Can Tell, filmAppearanceContext, Pulp Fiction twist contest scene]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmAppearanceContext
Context triple: [You Never Can Tell, filmAppearanceContext, Pulp Fiction twist contest scene]
  • A. filmAppearanceType
    Indicates the type or nature of a subject’s appearance in a film, such as a role, cameo, or other participation category.
  • B. cultFilmAppearance
    Indicates that an entity appears in, or is featured as part of, a cult film.
  • C. appearsAgainst
    Indicates that one entity is visually or publicly presented in opposition to, or in contrast with, another entity.
  • D. filmAppearanceOrder
    Indicates the sequence in which a character or element appears within a film, relative to other appearances.
  • E. filmAssociatedWith chosen
    Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3609776d48190b6b8c7826ac575c4 completed April 18, 2026, 10:44 a.m.
PD Predicate disambiguation batch_69e296aabc508190b3836a91b49113ad completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:17 a.m.