Triple

T28044679
Position Surface form Disambiguated ID Type / Status
Subject Shout E708644 entity
Predicate hasRebelliousProtagonist P192451 FINISHED
Object true 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: true | Statement: [Shout, hasRebelliousProtagonist, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRebelliousProtagonist
Context triple: [Shout, hasRebelliousProtagonist, true]
  • A. hasMischievousProtagonist chosen
    Indicates that the work’s main character habitually engages in playful, naughty, or rule-breaking behavior.
  • B. hasAntagonisticProtagonist
    Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
  • C. typeOfRebel
    Indicates that one entity is a rebel belonging to, or classified under, a particular type or category of rebellion.
  • D. hasHumanProtagonists
    Indicates that the primary characters driving the narrative are human beings rather than non-human entities.
  • E. hasBlackProtagonist
    Indicates that the work features a main character whose racial identity is Black.
  • 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_69ef9b6cf538819094a633ffa67afec1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69ff255b84788190a94682f4efe1d0b8 completed May 9, 2026, 12:15 p.m.
PD Predicate disambiguation batch_69ff24f3ab108190bb017a656cff3d82 completed May 9, 2026, 12:13 p.m.
Created at: April 27, 2026, 8:28 p.m.