Triple

T31483676
Position Surface form Disambiguated ID Type / Status
Subject Countess of Southesk E803213 entity
Predicate entailsCourtesyStyles P119966 FINISHED
Object may be addressed as Lady Southesk 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: may be addressed as Lady Southesk | Statement: [Countess of Southesk, entailsCourtesyStyles, may be addressed as Lady Southesk]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: entailsCourtesyStyles
Context triple: [Countess of Southesk, entailsCourtesyStyles, may be addressed as Lady Southesk]
  • A. requiresStandingEtiquette
    Indicates that the situation or action necessitates following proper etiquette or manners specifically while standing.
  • B. conveysStyle
    Indicates that one entity expresses, communicates, or embodies a particular style through its form, behavior, or presentation.
  • C. hasManner
    Indicates the way, style, or method in which an action is performed or a relation is carried out.
  • D. honourStyle
    Indicates a relationship where one entity follows, respects, or upholds the manner, customs, or stylistic approach associated with another.
  • E. usedAsCourtesyTitleWithin chosen
    Indicates that a term or title is employed as a polite or honorific form of address within a particular context, culture, or setting.
  • 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_69f348ca04508190ba9379b5329dfd75 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a5f71b2c8190aade8a83f465be0c completed May 3, 2026, 1:33 a.m.
PD Predicate disambiguation batch_69f69fe66df08190958558d63ee623d9 completed May 3, 2026, 1:07 a.m.
Created at: April 30, 2026, 9:34 p.m.