Triple

T28492092
Position Surface form Disambiguated ID Type / Status
Subject Who’s Afraid of Virginia Woolf? (film score) E720999 entity
Predicate linkedToCharacterFocus P95658 FINISHED
Object psychological conflict of main characters 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: psychological conflict of main characters | Statement: [Who’s Afraid of Virginia Woolf? (film score), linkedToCharacterFocus, psychological conflict of main characters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linkedToCharacterFocus
Context triple: [Who’s Afraid of Virginia Woolf? (film score), linkedToCharacterFocus, psychological conflict of main characters]
  • A. hasCharacterFocus chosen
    Indicates that a work, scene, or segment centers primarily on a particular character’s experiences, perspective, or development.
  • B. connectsCharacter
    Indicates that one character is linked or associated with another in some meaningful way.
  • C. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • D. importFocus
    Indicates that attention, priority, or emphasis is being brought into or concentrated on a particular entity or aspect.
  • E. focusOf
    Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
  • 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_69f01a5a47148190b0a7e111bc432e0a completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f7817daf00819098936402e75ab0a6 completed May 3, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69f780fc5ed88190b7200ee5a29940af completed May 3, 2026, 5:08 p.m.
Created at: April 28, 2026, 3:02 a.m.