Triple

T26418679
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Friedman E664166 entity
Predicate nameHasVariant P161294 FINISHED
Object Jonathan L. Friedman 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: Jonathan L. Friedman | Statement: [Jonathan Friedman, nameHasVariant, Jonathan L. Friedman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nameHasVariant
Context triple: [Jonathan Friedman, nameHasVariant, Jonathan L. Friedman]
  • A. surnameVariant
    Indicates that one surname is an alternative spelling, form, or variation of another surname.
  • B. hasOfficialNameVariant
    Indicates that an entity has an alternative official form or version of its name.
  • C. hasNameVariantType
    Indicates that one name is a specific type or variant of another name, such as an alias, abbreviation, or alternative spelling.
  • D. hasEthnonymVariant
    Indicates that one ethnonym is an alternative or variant form of another ethnonym referring to the same ethnic group.
  • E. EuropeanNameVariant
    Indicates that one name is a variant or alternative form of another name as used in a European language or cultural context.
  • F. None of above. chosen

Provenance (4 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_69ee883a04ec81908883c4559f8c7e24 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6135293908190809e255bf6334760 completed May 2, 2026, 3:08 p.m.
PD Predicate disambiguation batch_69f611a9272881909093360472be832c completed May 2, 2026, 3 p.m.
PDg Predicate description generation batch_69f6125e54e0819088ee33a20efcc9e6 completed May 2, 2026, 3:03 p.m.
Created at: April 26, 2026, 11:41 p.m.