Triple

T21877392
Position Surface form Disambiguated ID Type / Status
Subject Television E540182 entity
Predicate roleOfBillyFicca P140406 FINISHED
Object drummer 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: drummer | Statement: [Television, roleOfBillyFicca, drummer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleOfBillyFicca
Context triple: [Television, roleOfBillyFicca, drummer]
  • A. roleOfCharacter chosen
    Indicates that one entity serves as the narrative or functional role played by a character within a story, scenario, or context.
  • B. 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).
  • C. roleInMisfits
    Indicates that an entity has a specific role or function within a group, project, or collection referred to as "Misfits."
  • D. isFictionalTwinOf
    Indicates that one entity is the imagined or fictional twin counterpart of another entity, typically within a narrative or creative context.
  • E. 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.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33c012c819096d0f7b2ffdc7a2f completed April 28, 2026, 5:49 p.m.
PD Predicate disambiguation batch_69e6be9394f88190945ddd1dc004d29d completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:02 p.m.