Triple

T32194298
Position Surface form Disambiguated ID Type / Status
Subject The Grave (short story) E822358 entity
Predicate authorWroteAlso P142856 FINISHED
Object scripts for The Twilight Zone 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: scripts for The Twilight Zone | Statement: [The Grave (short story), authorWroteAlso, scripts for The Twilight Zone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: authorWroteAlso
Context triple: [The Grave (short story), authorWroteAlso, scripts for The Twilight Zone]
  • A. authorOfAlso
    Indicates that an entity is also an author of another specified work or item, in addition to any primary authorship already indicated.
  • B. coAuthorAlsoWrote
    Indicates that a person who is a co-author of one work also wrote another work, linking shared authorship across multiple creations.
  • C. hasAuthorAlsoKnownFor chosen
    Indicates that the author of a work is additionally recognized or notable for another specific work, role, or achievement.
  • D. workByAuthorAlsoKnownFor
    Indicates that a work is created by an author who is also notably recognized for another specified work or contribution.
  • E. authorIsAlso
    Indicates that the same individual serves simultaneously as the author and as the other specified role or entity in the relationship.
  • 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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd389cb28c819099a77e28d25f258a completed May 8, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69fd3826d8048190ada79a5868d1d7f3 completed May 8, 2026, 1:11 a.m.
Created at: May 1, 2026, 12:35 a.m.