Triple

T34873670
Position Surface form Disambiguated ID Type / Status
Subject William Day E1005819 entity
Predicate hasDisambiguationCriterion P191781 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: [William Day, hasDisambiguationCriterion, profession]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDisambiguationCriterion
Context triple: [William Day, hasDisambiguationCriterion, profession]
  • A. hasDisambiguationNote
    Indicates that there is an explanatory note used to distinguish this entity or term from other entities or terms with similar or identical names.
  • B. hasDisambiguationPage
    Indicates that there exists a disambiguation page used to distinguish between multiple entities or meanings associated with the same term.
  • C. requiresAdditionalDisambiguation
    Indicates that the referenced entity or relationship is not sufficiently specific and needs further clarification or distinguishing information to avoid confusion with similar entities or meanings.
  • D. supportsDisambiguationOf
    Indicates that one entity helps clarify or distinguish the correct meaning or identity of another entity among multiple possible interpretations.
  • E. requiresDisambiguationOn chosen
    Indicates that the referenced entity is ambiguous and needs additional clarification or context specifically on the associated item or dimension.
  • 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_69f76dbde1c08190a24e7f9beb564c8d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff246e0d4481908bcec718e1d4025b completed May 9, 2026, 12:11 p.m.
PD Predicate disambiguation batch_69ff23cb70ac81909b776ace4597ae9c completed May 9, 2026, 12:08 p.m.
Created at: May 3, 2026, 4 p.m.