Triple

T20415560
Position Surface form Disambiguated ID Type / Status
Subject Katherina E500702 entity
Predicate centralConflictInWork P96925 FINISHED
Object her contentious courtship with Petruchio 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: her contentious courtship with Petruchio | Statement: [Katherina, centralConflictInWork, her contentious courtship with Petruchio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralConflictInWork
Context triple: [Katherina, centralConflictInWork, her contentious courtship with Petruchio]
  • A. centralConflictIn chosen
    Indicates that one situation, issue, or opposition serves as the primary source of tension or struggle within another context, such as a story, event, or scenario.
  • B. internalConflict
    Indicates a relationship where an entity experiences opposing desires, beliefs, or motives within itself, leading to psychological or emotional tension.
  • C. centralWork
    Indicates that a particular work is the primary, most important, or focal work associated with an entity or context.
  • D. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a437eec8190a20c89a236dd5bc0 completed April 20, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69e5766df0008190a73c4f613c29678f completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:30 a.m.