Triple

T11243200
Position Surface form Disambiguated ID Type / Status
Subject The Cameraman E266125 entity
Predicate mainGoalOfProtagonist P91485 FINISHED
Object To become a newsreel cameraman to impress a woman 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: To become a newsreel cameraman to impress a woman | Statement: [The Cameraman, mainGoalOfProtagonist, To become a newsreel cameraman to impress a woman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainGoalOfProtagonist
Context triple: [The Cameraman, mainGoalOfProtagonist, To become a newsreel cameraman to impress a woman]
  • A. mainProtagonist
    Indicates that the subject is the central character or primary focus in the narrative of the related work.
  • B. narrativeGoal
    Indicates that one entity has a desired outcome or objective within a story or narrative context that drives their actions or development.
  • C. protagonistIs
    Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
  • D. protagonistMust
    Indicates that a particular entity is required to serve as the main character or central focus within a narrative or scenario.
  • E. characterMotivation chosen
    Indicates the underlying reasons, desires, or goals that drive a character’s actions and decisions within a narrative.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91b0b808190bc38008bb344d180 completed April 9, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69d7878906f48190b63ddc103a0c8f9b completed April 9, 2026, 11:03 a.m.
Created at: April 8, 2026, 9:30 p.m.