Triple

T32556593
Position Surface form Disambiguated ID Type / Status
Subject Maya and the Three E832111 entity
Predicate antagonistsDescription P108467 FINISHED
Object vengeful gods 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: vengeful gods | Statement: [Maya and the Three, antagonistsDescription, vengeful gods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: antagonistsDescription
Context triple: [Maya and the Three, antagonistsDescription, vengeful gods]
  • A. primaryAntagonists
    Indicates that the referenced entities serve as the main opposing or adversarial forces in relation to a specified subject or narrative.
  • B. antagonistOf
    Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
  • C. featuresAntagonistEntity chosen
    Indicates that the subject includes or involves an entity serving as an antagonist in the context of a narrative, interaction, or scenario.
  • D. hasAntagonisticProtagonist
    Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
  • E. antagonistAlterEgoOf
    Indicates that one entity serves as the primary opposing force or enemy of another entity’s alternate identity or secret persona.
  • 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_69f34926b9848190ace47d2dd0a0de7c completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c8159edc8190b1c87015e0c820e8 completed May 3, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69f6c3f42fbc8190a06eb1044c9e6094 completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 1:03 a.m.