Triple

T37618687
Position Surface form Disambiguated ID Type / Status
Subject A Guide to Recognizing Your Saints E936000 entity
Predicate characterVersionRelationship P47184 FINISHED
Object Robert Downey Jr. plays the adult Dito 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: Robert Downey Jr. plays the adult Dito | Statement: [A Guide to Recognizing Your Saints, characterVersionRelationship, Robert Downey Jr. plays the adult Dito]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterVersionRelationship
Context triple: [A Guide to Recognizing Your Saints, characterVersionRelationship, Robert Downey Jr. plays the adult Dito]
  • A. titleCharacterRelation
    Indicates the relationship between a work’s title and a specific character it references or centers on.
  • B. relationshipToCharacter
    Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
  • C. relationshipCharacterizedAs
    Indicates that one relationship is described, defined, or typified in terms of another specified characteristic or relational type.
  • D. characterActorRelationship chosen
    Indicates a relationship where an actor portrays or is associated with a specific character in a work.
  • E. isVersionOf
    Indicates that one entity is a particular version, edition, or variant derived from 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_69f76ed16b748190ad6add183b1be688 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fff59a00a881909b35b799654b3c45 completed May 10, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69fff4d0a2e081909c972189b33d0128 completed May 10, 2026, 3 a.m.
Created at: May 3, 2026, 4:18 p.m.