Triple

T32042013
Position Surface form Disambiguated ID Type / Status
Subject Carla Jean Moss E818241 entity
Predicate relationshipToAntagonist P152993 FINISHED
Object victim of Anton Chigurh 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: victim of Anton Chigurh | Statement: [Carla Jean Moss, relationshipToAntagonist, victim of Anton Chigurh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToAntagonist
Context triple: [Carla Jean Moss, relationshipToAntagonist, victim of Anton Chigurh]
  • A. relationshipWithAntagonist chosen
    Indicates a relationship or connection that an entity has with an opposing or adversarial figure in a narrative or context.
  • B. hasFriendEnemyRelationshipWith
    Indicates a relationship where two entities are simultaneously connected as both friends and enemies, reflecting a mixed or ambivalent association between them.
  • C. antagonistOf
    Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
  • 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. antagonistStatus
    Indicates that an entity holds an opposing or adversarial role, often acting as the main source of conflict relative to another entity or objective.
  • 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_69f348fcfb648190859f6be5e04b7cfe completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379eaa540819095a1c5d9f3513f9b completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 12:19 a.m.