Triple

T29056527
Position Surface form Disambiguated ID Type / Status
Subject Sheila Johnson E735399 entity
Predicate hasNotableFamilyBackground P131437 FINISHED
Object prominent business family 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: prominent business family | Statement: [Sheila Johnson, hasNotableFamilyBackground, prominent business family]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableFamilyBackground
Context triple: [Sheila Johnson, hasNotableFamilyBackground, prominent business family]
  • A. hasFamilyBackgroundIn
    Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
  • B. hasNotableFamilyMembers
    Indicates that an entity is related to one or more family members who are considered notable or significant in some context.
  • C. hasNotablePatriarch
    Indicates that an entity is associated with a prominent or historically significant male ancestral or founding figure.
  • D. hasFamilyReputation chosen
    Indicates that an entity is associated with a particular standing, status, or reputation held by their family.
  • E. hasNotableRabbinicFamily
    Indicates that an individual belongs to or descends from a family recognized for its prominence or distinction in rabbinic leadership or scholarship.
  • 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_69f077e64b88819094d37bdbca8191b3 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69ff6fba1a5c8190a660279a6271d785 completed May 9, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69ff6f59388c8190a7d6ab7bc7705bc0 completed May 9, 2026, 5:31 p.m.
Created at: April 28, 2026, 10:12 a.m.