Triple

T38395096
Position Surface form Disambiguated ID Type / Status
Subject House of Leijonhufvud E900736 entity
Predicate hasGenderedFormOfSurname P17779 FINISHED
Object Leijonhufvud (used by both men and women) 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: Leijonhufvud (used by both men and women) | Statement: [House of Leijonhufvud, hasGenderedFormOfSurname, Leijonhufvud (used by both men and women)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGenderedFormOfSurname
Context triple: [House of Leijonhufvud, hasGenderedFormOfSurname, Leijonhufvud (used by both men and women)]
  • A. genderedFamilyName
    Indicates that a family name is specifically associated with, or varies according to, a particular gender.
  • B. hasFemaleFormOf
    Indicates that one entity is the specifically female version or form of another, more general or differently gendered entity.
  • C. genderedFormOf chosen
    Indicates that one term is a gender-specific variant or inflected form corresponding to another, more neutral or differently gendered term.
  • D. namedForGender
    Indicates that one entity is named in a way that reflects or is derived from a particular gender or gender-related characteristic of another entity.
  • E. hasGenderedFormOrigin
    Indicates that one form of an entity originates from or is derived based on a specific grammatical or social gender.
  • 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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fe7eb4b8348190bb19d35766189ed4 completed May 9, 2026, 12:24 a.m.
PD Predicate disambiguation batch_69fe7c35d2148190ab952e54feda1e76 completed May 9, 2026, 12:13 a.m.
Created at: May 3, 2026, 4:31 p.m.