Triple

T37676949
Position Surface form Disambiguated ID Type / Status
Subject The Maxx E938120 entity
Predicate hasProtagonistWithAlterEgo P19776 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: [The Maxx, hasProtagonistWithAlterEgo, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProtagonistWithAlterEgo
Context triple: [The Maxx, hasProtagonistWithAlterEgo, true]
  • A. hasFictionalAlterEgoOf
    Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
  • B. protagonistAlterEgoOf chosen
    Indicates that one entity is the alternate identity or secret persona of the main character (protagonist) in a narrative.
  • C. antagonistAlterEgoOf
    Indicates that one entity serves as the primary opposing force or enemy of another entity’s alternate identity or secret persona.
  • D. hasAlternateHero
    Indicates that an entity is associated with a different or substitute hero that can take its place or serve as an alternative.
  • E. hasSecondaryProtagonist
    Indicates that an entity (such as a work of fiction) features another character who serves as a secondary or supporting main protagonist alongside the primary one.
  • 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_69f76ed7b1408190ba8c93c53cb8becf completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1772e48190ba738c6d11b321e2 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:18 p.m.