Triple

T24918569
Position Surface form Disambiguated ID Type / Status
Subject VSM E624056 entity
Predicate usedInNameStyle P81832 FINISHED
Object placed after the recipient’s name as post-nominal letters 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: placed after the recipient’s name as post-nominal letters | Statement: [VSM, usedInNameStyle, placed after the recipient’s name as post-nominal letters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInNameStyle
Context triple: [VSM, usedInNameStyle, placed after the recipient’s name as post-nominal letters]
  • A. usedInNamingPractice
    Indicates that something serves as a basis, source, or reference in the practice of assigning names.
  • B. styleNameUsage chosen
    Indicates how a particular style name is applied or used in relation to an entity or context.
  • C. nameUsedIn
    Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
  • D. usedInFullNameOf
    Indicates that one entity (such as a word, name part, or title) is used as a component within the complete formal name of another entity.
  • E. nameStyle
    Indicates how an entity’s name is formatted or stylistically presented (e.g., capitalization, punctuation, or naming convention).
  • 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_69e2fac889c081908e9ff686cb428e5a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f497bc12b881908fe3386c66252bf6 completed May 1, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69f49366e8d08190adb4b71fe3a14683 completed May 1, 2026, 11:49 a.m.
Created at: April 18, 2026, 5:28 a.m.