Triple

T27476521
Position Surface form Disambiguated ID Type / Status
Subject Afterlives E693475 entity
Predicate creatorBackground P110260 FINISHED
Object former IRA prisoner 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: former IRA prisoner | Statement: [Afterlives, creatorBackground, former IRA prisoner]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: creatorBackground
Context triple: [Afterlives, creatorBackground, former IRA prisoner]
  • A. basedOnCreatorBackground
    Indicates that something is determined, influenced, or derived from the background or personal history of its creator.
  • B. creatorType
    Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
  • C. featuresArtistBackground chosen
    Indicates that something includes or presents information about an artist’s background or personal/professional history.
  • D. creatorOccupation
    Indicates the professional role or job that the creator of an entity holds or held.
  • E. creatorAlternativeName
    Indicates an alternative or variant name used to refer to the creator.
  • 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_69ef5381f2648190a2392d0fab833095 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f7516d5b4081908588a6feb541f355 completed May 3, 2026, 1:45 p.m.
PD Predicate disambiguation batch_69f74d40ebb081909daf60623e38f41d completed May 3, 2026, 1:27 p.m.
Created at: April 27, 2026, 12:57 p.m.