Triple

T31976360
Position Surface form Disambiguated ID Type / Status
Subject The Standoff E816458 entity
Predicate hasFictionalGenreCharacteristic P197771 FINISHED
Object character-driven suspense 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: character-driven suspense | Statement: [The Standoff, hasFictionalGenreCharacteristic, character-driven suspense]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalGenreCharacteristic
Context triple: [The Standoff, hasFictionalGenreCharacteristic, character-driven suspense]
  • A. hasFictionalType
    Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
  • B. hasFictionalContent
    Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
  • C. hasFictionalScope
    Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
  • D. hasFictionalFunction
    Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
  • E. hasFictionalProperty
    Indicates that an entity possesses a property, attribute, or characteristic that exists only in a fictional or imaginary context.
  • 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_69f348f6a3008190bfb59ca695fd68e2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69feaa483fcc81909d8a46b38a8717bf completed May 9, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69fea8c9d45c81908ccc8619e5fefac1 completed May 9, 2026, 3:23 a.m.
PDg Predicate description generation batch_69feaa477f7c81909382b3aa77e7e11c completed May 9, 2026, 3:30 a.m.
Created at: May 1, 2026, 12:11 a.m.