Triple

T35806860
Position Surface form Disambiguated ID Type / Status
Subject The American Badass E1035122 entity
Predicate personaContrastsWith P41001 FINISHED
Object The Undertaker Deadman persona E318019 NE 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: The Undertaker Deadman persona | Statement: [The American Badass, personaContrastsWith, The Undertaker Deadman persona]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: personaContrastsWith
Context triple: [The American Badass, personaContrastsWith, The Undertaker Deadman persona]
  • A. characterContrast chosen
    Indicates a relationship where two characters are compared to highlight their opposing or significantly differing traits, roles, or behaviors.
  • B. nameContrastsWith
    Indicates that one name is deliberately chosen or used to highlight a difference or opposition in meaning, style, or identity relative to another name.
  • C. hasDifferentPersonalityIn
    Indicates that an entity exhibits a different personality or character traits within a specified context, setting, or situation.
  • D. characterContrastWithWork
    Indicates a relationship where a character’s traits, behavior, or role are intentionally contrasted with the themes, style, or overall nature of a work.
  • E. providesContrastWith
    Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
  • F. None of above.

Provenance (4 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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389170738c81908fbc6d15c66cca41 completed June 22, 2026, 1:35 a.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.