Triple

T35471118
Position Surface form Disambiguated ID Type / Status
Subject Black Pawn Publishing E1025209 entity
Predicate publishesBookSeries P67460 FINISHED
Object Nikki Heat series NE NERFINISHED

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: Nikki Heat series | Statement: [Black Pawn Publishing, publishesBookSeries, Nikki Heat series]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publishesBookSeries
Context triple: [Black Pawn Publishing, publishesBookSeries, Nikki Heat series]
  • A. literarySeriesPublisher chosen
    Indicates the publishing company responsible for producing or releasing a given literary series.
  • B. publishesBooksOn
    Indicates that a publisher or author releases or makes available books whose subject matter concerns a specified topic or field.
  • C. hasPublicationSeries
    Indicates that an entity is part of, or associated with, a particular publication series.
  • D. literarySeries
    Indicates that one work is part of, or belongs to, a larger literary series that connects multiple related works.
  • E. publishesAuthor
    Indicates that a publisher or publishing entity issues, releases, or makes publicly available works created by a specific author.
  • 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_69f76dfadba0819083456aadcd6864ea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff795d25d08190b7584c72be39d309 completed May 9, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69ff78a90fbc8190a62c57456dc1d4ad completed May 9, 2026, 6:10 p.m.
Created at: May 3, 2026, 4:04 p.m.