Triple

T26703296
Position Surface form Disambiguated ID Type / Status
Subject Clara McMillen (Kinsey) E673216 entity
Predicate conflictInNarrative P115433 FINISHED
Object emotional strain from unconventional sexual arrangements 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: emotional strain from unconventional sexual arrangements | Statement: [Clara McMillen (Kinsey), conflictInNarrative, emotional strain from unconventional sexual arrangements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conflictInNarrative
Context triple: [Clara McMillen (Kinsey), conflictInNarrative, emotional strain from unconventional sexual arrangements]
  • A. storyConflict
    Indicates a relationship where a story contains or centers around a central problem, opposition, or tension that drives its plot.
  • B. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • C. storyConflictSource chosen
    Indicates the source or cause from which a story’s central conflict arises.
  • D. conflictDescribedIn
    Indicates that a particular conflict is documented, detailed, or discussed within a specified information source or description.
  • E. mainConflict
    Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
  • 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_69eecda2b49c8190a6c481cfc4c07954 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f62d53ad58819080c5227c7a729d15 completed May 2, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f62c15952881908a5ea0c25904afec completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 3:32 a.m.