Triple

T33265092
Position Surface form Disambiguated ID Type / Status
Subject Borachio E851621 entity
Predicate feignsCourtshipOf P139538 FINISHED
Object Margaret NE NERFINISHED

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: Margaret | Statement: [Borachio, feignsCourtshipOf, Margaret]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: feignsCourtshipOf
Context triple: [Borachio, feignsCourtshipOf, Margaret]
  • A. courtshipMode
    Indicates the manner or strategy by which one entity engages in behaviors intended to attract or win the favor of another for a romantic or reproductive relationship.
  • B. notableDeviceInCourtship
    Indicates that a particular device plays a significant or characteristic role in the courtship behavior or ritual between entities.
  • C. courtships chosen
    Indicates that one entity engages in courtship behavior toward another, typically as part of initiating or maintaining a romantic or mating relationship.
  • D. needsBestMan
    Indicates that one entity requires or is seeking another entity to serve as their best man in a wedding or similar ceremony.
  • E. servesAtThePleasureOf
    Indicates that one entity holds a position or role that can be terminated at any time by another entity, typically at the discretion or will of that other 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_69f349642dac81908a37ffcc3b976a55 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6e02ba6b881908dfafc52d3b75f1c completed May 3, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69f6de09c2f481909f8b2545d3208c9f completed May 3, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:32 a.m.