Triple

T32841002
Position Surface form Disambiguated ID Type / Status
Subject Ralph Glover E839967 entity
Predicate mayRequireQualifier P143720 FINISHED
Object profession 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: profession | Statement: [Ralph Glover, mayRequireQualifier, profession]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayRequireQualifier
Context triple: [Ralph Glover, mayRequireQualifier, profession]
  • A. requiresAdditionalQualifier chosen
    Indicates that the relationship or statement is not sufficiently specific on its own and must be accompanied by an extra qualifying detail or condition to be properly interpreted.
  • B. mustBeQualifiedAs
    Indicates that one entity is required to hold a specific qualification, status, or designation in relation to another entity or context.
  • C. hasQualifier
    Indicates that one entity serves as a qualifier or modifier that further specifies or restricts the meaning or scope of another entity or statement.
  • D. mayIncludeRequirement
    Indicates that something can optionally contain or encompass a particular requirement as part of its definition or structure.
  • E. mayHoldQualification
    Indicates that an entity is permitted or able to possess a particular qualification, certification, or credential.
  • 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_69f3493ff0888190b51e974eae2a7834 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce6d659881909ddcec1d2966e020 completed May 3, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:16 a.m.