Triple

T38363450
Position Surface form Disambiguated ID Type / Status
Subject Robert De Niro as Max Cady E892359 entity
Predicate motivationOfCharacter P91485 FINISHED
Object revenge against his former lawyer 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: revenge against his former lawyer | Statement: [Robert De Niro as Max Cady, motivationOfCharacter, revenge against his former lawyer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: motivationOfCharacter
Context triple: [Robert De Niro as Max Cady, motivationOfCharacter, revenge against his former lawyer]
  • A. characterMotivation chosen
    Indicates the underlying reasons, desires, or goals that drive a character’s actions and decisions within a narrative.
  • B. motivationFor
    Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
  • 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. characterInspiration
    Indicates that one entity serves as the creative or conceptual inspiration for the development or portrayal of another character.
  • E. protagonistCharacteristic
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • 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_69f76e47cb4c8190bdd92cd1db59c0c5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd313e61c8190b174b331365b803f completed May 7, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69fcd1f6b2e08190bf0300ae7c9ae67a completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:31 p.m.