Triple

T36670795
Position Surface form Disambiguated ID Type / Status
Subject Edgar Caswall E905409 entity
Predicate isFictionalAntagonistOf P18963 FINISHED
Object The Lair of the White Worm protagonists 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: The Lair of the White Worm protagonists | Statement: [Edgar Caswall, isFictionalAntagonistOf, The Lair of the White Worm protagonists]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFictionalAntagonistOf
Context triple: [Edgar Caswall, isFictionalAntagonistOf, The Lair of the White Worm protagonists]
  • A. antagonistAlterEgoOf
    Indicates that one entity serves as the primary opposing force or enemy of another entity’s alternate identity or secret persona.
  • B. mainAntagonistPortrayedBy
    Indicates that the person is the primary actor who plays the main antagonist character in a work.
  • C. hasAntagonisticProtagonist
    Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
  • D. antagonistOf chosen
    Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
  • E. antagonistActorRole
    Indicates that an actor plays the role of an antagonist in a given work or 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_69f76e6f10008190aea41746aa1b186e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c79dede081909607d64d3cd1aeb2 completed May 3, 2026, 10:09 p.m.
PD Predicate disambiguation batch_69f7c4796ebc819084a0dc08505e5f14 completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:12 p.m.