Triple

T29432015
Position Surface form Disambiguated ID Type / Status
Subject Sarah E746456 entity
Predicate genreOfWorkOrigin P61786 FINISHED
Object horror 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: horror film | Statement: [Sarah, genreOfWorkOrigin, horror film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genreOfWorkOrigin
Context triple: [Sarah, genreOfWorkOrigin, horror film]
  • A. genreOfOriginWork chosen
    Indicates that a work is classified under a particular genre based on the genre of its original source work.
  • B. genreOfWorkAbout
    Indicates that a work is about a particular genre, expressing that the work’s subject matter or focus concerns that genre.
  • C. literaryOriginCountry
    Indicates the country from which a literary work or literary tradition originally comes.
  • D. genreOfWorkDescribedIn
    Indicates that a work is characterized as belonging to a particular genre as described in another resource or context.
  • E. genreOfWorkContributedTo
    Indicates that an entity contributed to a work belonging to a specified genre.
  • 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_69f0a7a06e0081908add494075912eb4 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 28, 2026, 3:14 p.m.