Triple

T26630803
Position Surface form Disambiguated ID Type / Status
Subject Lora Baines E668484 entity
Predicate hasDigitalCounterpart P8017 FINISHED
Object Yori NE NERFINISHED

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: Yori | Statement: [Lora Baines, hasDigitalCounterpart, Yori]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDigitalCounterpart
Context triple: [Lora Baines, hasDigitalCounterpart, Yori]
  • A. hasCounterpart
    Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
  • B. hasDigitalForm chosen
    Indicates that something exists or is available in a digital or electronic format.
  • C. hasPopularDigitalVersionOn
    Indicates that an entity has a widely used or well-known digital version available on a specified platform or medium.
  • D. hasCounterpartName
    Indicates that an entity has an alternative or corresponding name used as its counterpart in another context, system, or representation.
  • E. hasDigitalAccess
    Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
  • 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_69ee9cff507c819092b95bf7219a702e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc53f4f881908dcc698687bbb64d completed May 3, 2026, 7:42 a.m.
Created at: April 27, 2026, 2:25 a.m.