Triple

T35865439
Position Surface form Disambiguated ID Type / Status
Subject John Stevenson E1037072 entity
Predicate hasAmbiguousReferenceScope P61710 FINISHED
Object multiple possible individuals named John Stephenson / Stevenson 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: multiple possible individuals named John Stephenson / Stevenson | Statement: [John Stevenson, hasAmbiguousReferenceScope, multiple possible individuals named John Stephenson / Stevenson]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAmbiguousReferenceScope
Context triple: [John Stevenson, hasAmbiguousReferenceScope, multiple possible individuals named John Stephenson / Stevenson]
  • A. hasAmbiguous
    Indicates that the relationship or state is unclear, uncertain, or open to multiple interpretations.
  • B. isAmbiguousIn
    Indicates that something has multiple possible interpretations or meanings within a given context, making its intended sense unclear.
  • C. isAmbiguousName
    Indicates that a name can refer to multiple distinct entities or interpretations, making its reference unclear without additional context.
  • D. hasAmbiguousIdentity
    Indicates that an entity’s identity is unclear, uncertain, or can be interpreted in multiple distinct ways.
  • E. scopeOfReference chosen
    Indicates the range or domain of things, concepts, or entities to which a reference, statement, or expression applies.
  • 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_69f76e1d279c8190843e5b64a0a12c3f completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac23d1388190bdf9628b294943bd completed May 3, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f7ab734d848190a84f9b8c3a952b75 completed May 3, 2026, 8:09 p.m.
Created at: May 3, 2026, 4:06 p.m.