Triple

T4645251
Position Surface form Disambiguated ID Type / Status
Subject Wolff E101755 entity
Predicate hasPatronymicUse P58880 FINISHED
Object true 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: true | Statement: [Wolff, hasPatronymicUse, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPatronymicUse
Context triple: [Wolff, hasPatronymicUse, true]
  • A. patronymicName
    Indicates that one entity’s name is derived from or based on the given name of a parent or ancestor, typically the father.
  • B. isMatronymicOf
    Indicates that one entity is a name or designation derived from the mother of another entity, typically used as that entity’s family or identifying name.
  • C. patronymicSuffix
    Indicates that one entity is a suffix added to a personal name to denote lineage or descent from another person, typically the father.
  • D. usedAsSurnameInCountry
    Indicates that a particular name functions as a family surname within the specified country.
  • E. hasBaseSurname
    Indicates that an entity’s surname is derived from, or fundamentally corresponds to, a specified base or canonical surname.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6632708c8190b627d99363ab062c completed March 20, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69bd620fc5e081908325ac8e6a6384ab completed March 20, 2026, 3:04 p.m.
PDg Predicate description generation batch_69bd663092cc81909308f89ee1a417e4 completed March 20, 2026, 3:22 p.m.
Created at: March 20, 2026, 1:14 p.m.