Triple

T26897368
Position Surface form Disambiguated ID Type / Status
Subject Reindeer(s) Are Better Than People E677930 entity
Predicate basedOnCharacterRelationship P81121 FINISHED
Object Kristoff and Sven 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: Kristoff and Sven | Statement: [Reindeer(s) Are Better Than People, basedOnCharacterRelationship, Kristoff and Sven]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnCharacterRelationship
Context triple: [Reindeer(s) Are Better Than People, basedOnCharacterRelationship, Kristoff and Sven]
  • A. basedOnCharactersRelationship chosen
    Indicates that something is determined or derived from the relationship between the characters involved.
  • B. portraysCharacterRelationship
    Indicates that one entity depicts or represents the relationship between characters in another entity.
  • C. characterActorRelationship
    Indicates a relationship where an actor portrays or is associated with a specific character in a work.
  • D. relationshipCharacterizedAs
    Indicates that one relationship is described, defined, or typified in terms of another specified characteristic or relational type.
  • E. fictionalRelationship
    Indicates a relationship that exists only within a fictional or imagined context between entities.
  • 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_69eee9befee48190a26f214faa867be7 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 27, 2026, 5:48 a.m.