Triple

T22924553
Position Surface form Disambiguated ID Type / Status
Subject Other Worlds E569264 entity
Predicate hasFictionType P117060 FINISHED
Object short stories 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: short stories | Statement: [Other Worlds, hasFictionType, short stories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionType
Context triple: [Other Worlds, hasFictionType, short stories]
  • A. hasFictionComponent
    Indicates that something includes, contains, or is composed in part of a fictional element or work.
  • B. hasGenreInFiction
    Indicates that a work of fiction belongs to or is categorized under a specific literary genre.
  • C. hasFictionalType chosen
    Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
  • D. fictionalGenre
    Indicates that a work of fiction belongs to or is categorized under a particular narrative genre or style.
  • E. hasWrittenFiction
    Indicates that one entity is the creator or author of fictional written works associated with another entity.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d84fc08190b747c3f9052c657a completed April 29, 2026, 3:54 a.m.
PD Predicate disambiguation batch_69ef3b7c5fc081909ac50c5c8569cc19 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:43 p.m.