Triple

T33802738
Position Surface form Disambiguated ID Type / Status
Subject Toni Collette as Maureen Thompson E866272 entity
Predicate initialMotivation P189741 FINISHED
Object suicideAttempt 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: suicideAttempt | Statement: [Toni Collette as Maureen Thompson, initialMotivation, suicideAttempt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initialMotivation
Context triple: [Toni Collette as Maureen Thompson, initialMotivation, suicideAttempt]
  • A. motivationFor
    Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
  • B. laterMotivation
    Indicates that one event, state, or action serves as a motivation or reason for another event, state, or action that occurs later in time.
  • C. motivatedByGoal
    Indicates that an action, behavior, or state occurs as a result of an intention to achieve a specific goal or desired outcome.
  • D. explorationMotivation
    Indicates a relationship where an entity is driven by curiosity or desire to discover, learn about, or investigate new places, ideas, or experiences.
  • E. motivated
    Indicates that one entity provides a reason, drive, or incentive that causes another entity to act or behave in a certain way.
  • F. None of above. chosen

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_69f3499057fc81909d862b1309a3bd71 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fbca6c066c8190a1599202f341417f completed May 6, 2026, 11:10 p.m.
PD Predicate disambiguation batch_69fbc8ec03ac8190a757563f96fab283 completed May 6, 2026, 11:04 p.m.
PDg Predicate description generation batch_69fbc9d0854c8190aa00093274afebb8 completed May 6, 2026, 11:08 p.m.
Created at: May 1, 2026, 1:46 a.m.