Triple

T37614447
Position Surface form Disambiguated ID Type / Status
Subject Helen Chandler E935878 entity
Predicate hasGenreInCareer P81374 FINISHED
Object horror 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 | Statement: [Helen Chandler, hasGenreInCareer, horror]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGenreInCareer
Context triple: [Helen Chandler, hasGenreInCareer, horror]
  • A. isInGenreOfArtistCareer chosen
    Indicates that an artist’s career belongs to or is categorized within a particular artistic genre.
  • B. hasGenreInRoles
    Indicates that an entity participates in roles associated with a particular genre or set of genres.
  • C. hasGenreOfWorkItAppearsIn
    Indicates that an entity is associated with the genre of the work in which it appears.
  • D. hasGivenGenre
    Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
  • E. hasGenreInPortfolio
    Indicates that an entity (such as a creator, label, or catalog) includes a particular genre within its body of work or offerings.
  • 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_69f76ed16b748190ad6add183b1be688 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fe59d11e9881909d2f33b7c717030e completed May 8, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69fe394fdfbc8190a931926ae3635cbf completed May 8, 2026, 7:28 p.m.
Created at: May 3, 2026, 4:18 p.m.