Triple

T27138750
Position Surface form Disambiguated ID Type / Status
Subject The Best of Both Worlds E681758 entity
Predicate fictionalPersonaPerformer P43063 FINISHED
Object Hannah Montana (character) 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: Hannah Montana (character) | Statement: [The Best of Both Worlds, fictionalPersonaPerformer, Hannah Montana (character)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalPersonaPerformer
Context triple: [The Best of Both Worlds, fictionalPersonaPerformer, Hannah Montana (character)]
  • A. fictionalPersonaOf
    Indicates that one entity is a fictional or narrative persona, alter ego, or character representation of another (typically real or primary) entity.
  • B. fictionalCharacterFrom chosen
    Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
  • C. fictionalCharacterAssisted
    Indicates that one fictional character provided help, support, or assistance to another fictional character.
  • D. fictionalPlayer
    Indicates that the referenced player entity is imaginary or does not exist in the real world, but is instead part of a fictional or simulated context.
  • E. fictionalCharacter
    Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
  • 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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
Created at: April 27, 2026, 9:08 a.m.