Triple

T37840724
Position Surface form Disambiguated ID Type / Status
Subject Sienna Elizabeth Mapelli Mozzi E943466 entity
Predicate paternalFamilyBackground P13742 FINISHED
Object Italian nobility 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: Italian nobility | Statement: [Sienna Elizabeth Mapelli Mozzi, paternalFamilyBackground, Italian nobility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: paternalFamilyBackground
Context triple: [Sienna Elizabeth Mapelli Mozzi, paternalFamilyBackground, Italian nobility]
  • A. paternalHouse
    Indicates the family house or lineage associated with a person's father.
  • B. hasFamilyBackgroundIn chosen
    Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
  • C. familyBackgroundDetail
    Indicates detailed information about an entity’s family background, such as lineage, upbringing, or familial circumstances.
  • D. paternalFamilyIndustry
    Indicates that an individual’s paternal family is associated with or engaged in a particular industry or line of business.
  • E. paternalStatus
    Indicates the nature or condition of a paternal relationship that an entity has to another (e.g., being a father, presumed father, or having a specific paternal role or status).
  • 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_69f76eeb0f7081908d6d3adbc469889c completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbae559a8819086ef839973f8d9b2 completed May 6, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69fbb1440fa08190abf25ba684f75b6e completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:19 p.m.