Triple

T24763019
Position Surface form Disambiguated ID Type / Status
Subject Boncompagni family E619500 entity
Predicate formedByMarriageWith P114269 FINISHED
Object Ludovisi family 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: Ludovisi family | Statement: [Boncompagni family, formedByMarriageWith, Ludovisi family]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formedByMarriageWith
Context triple: [Boncompagni family, formedByMarriageWith, Ludovisi family]
  • A. formedByMarriageOf chosen
    Indicates that something (typically a family, union, or legal entity) comes into existence as a result of the marriage between two entities.
  • B. marriedBy
    Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
  • C. resultedInMarriageTo
    Indicates that one event, action, or circumstance led to or caused a marriage to occur between the related entities.
  • D. connectedThroughMarriageVia
    Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
  • E. formerMemberByMarriageOf
    Indicates that a person was previously a member of a group, organization, or family specifically through marriage, but no longer holds that 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_69e2fabbea94819092ed41348909622f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f5f6baf2d48190a6a4cd6501be87d2 completed May 2, 2026, 1:06 p.m.
PD Predicate disambiguation batch_69f5afd5baac8190bb8ed576813c8591 completed May 2, 2026, 8:03 a.m.
Created at: April 18, 2026, 4:28 a.m.