Triple

T28522459
Position Surface form Disambiguated ID Type / Status
Subject Quitters, Inc. E721821 entity
Predicate hasMotiveForAntagonist P108466 FINISHED
Object enforcing smoking cessation at any cost 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: enforcing smoking cessation at any cost | Statement: [Quitters, Inc., hasMotiveForAntagonist, enforcing smoking cessation at any cost]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMotiveForAntagonist
Context triple: [Quitters, Inc., hasMotiveForAntagonist, enforcing smoking cessation at any cost]
  • A. hasAntagonisticProtagonist
    Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
  • B. missionOfAntagonist chosen
    Indicates the primary goal, plan, or objective that the antagonist is actively pursuing.
  • C. antagonistActionOf
    Indicates that one entity performs an action in opposition or hostility toward another entity, acting as its antagonist.
  • D. antagonistOf
    Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
  • E. relationshipWithAntagonist
    Indicates a relationship or connection that an entity has with an opposing or adversarial figure in a narrative 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_69f01a5cbcc4819083fb4e723378713e completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f79f48acec8190a9d5964581a94f6c completed May 3, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
Created at: April 28, 2026, 3:21 a.m.