Triple

T34873681
Position Surface form Disambiguated ID Type / Status
Subject William Day E1005819 entity
Predicate hasNameAmbiguityReason P71696 FINISHED
Object common given name combined with relatively common surname 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: common given name combined with relatively common surname | Statement: [William Day, hasNameAmbiguityReason, common given name combined with relatively common surname]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameAmbiguityReason
Context triple: [William Day, hasNameAmbiguityReason, common given name combined with relatively common surname]
  • A. isAmbiguousName chosen
    Indicates that a name can refer to multiple distinct entities or interpretations, making its reference unclear without additional context.
  • B. hasAmbiguous
    Indicates that the relationship or state is unclear, uncertain, or open to multiple interpretations.
  • C. isAmbiguousIn
    Indicates that something has multiple possible interpretations or meanings within a given context, making its intended sense unclear.
  • D. hasAmbiguousIdentity
    Indicates that an entity’s identity is unclear, uncertain, or can be interpreted in multiple distinct ways.
  • E. hasMultipleNames
    Indicates that an entity is known or referred to by more than one distinct name.
  • 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_69ff27b125948190aced0fe0189fd39a completed May 9, 2026, 12:25 p.m.
PD Predicate disambiguation batch_69ff26c30a0481909ef6a54ded851e42 completed May 9, 2026, 12:21 p.m.
Created at: May 3, 2026, 4 p.m.