Triple

T30691597
Position Surface form Disambiguated ID Type / Status
Subject Александр Николаевич Бенуа E781340 entity
Predicate родственник P132967 FINISHED
Object Леонтий Николаевич Бенуа 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: Леонтий Николаевич Бенуа | Statement: [Александр Николаевич Бенуа, родственник, Леонтий Николаевич Бенуа]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: родственник
Context triple: [Александр Николаевич Бенуа, родственник, Леонтий Николаевич Бенуа]
  • A. coveredFamilyMember
    Indicates that one person is included as an eligible dependent or beneficiary under another person’s insurance or benefit coverage.
  • B. cousin
    Indicates a familial relationship where two people share at least one grandparent but are not siblings.
  • C. siblingOrRelative chosen
    Indicates that two entities are related to each other by blood, marriage, or family ties, including but not limited to being siblings.
  • D. closestLivingRelatives
    Indicates that the related entities are the most closely related to each other among all currently living entities, in terms of evolutionary or genealogical proximity.
  • E. relationshipToRelative
    Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
  • 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_69f224ab24e08190991d6edb6df58e8b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68b8875ac8190bcd509983fb51b01 completed May 2, 2026, 11:40 p.m.
PD Predicate disambiguation batch_69f6861170d08190bb98be609d436f84 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:33 p.m.