Triple

T32860389
Position Surface form Disambiguated ID Type / Status
Subject Mickey Blue Eyes E840497 entity
Predicate fianceeFamilyAffiliation P163035 FINISHED
Object New York Mafia 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: New York Mafia | Statement: [Mickey Blue Eyes, fianceeFamilyAffiliation, New York Mafia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fianceeFamilyAffiliation
Context triple: [Mickey Blue Eyes, fianceeFamilyAffiliation, New York Mafia]
  • A. familyAssociationWith chosen
    Indicates a familial relationship or connection exists between the referenced entities.
  • B. financialRelationshipWith
    Indicates a financial connection or association between entities, such as ownership, investment, funding, or other monetary ties.
  • C. familyAlliance
    Indicates a cooperative or supportive relationship formed between families, often involving mutual obligations, shared interests, or joint actions.
  • D. organizationalFamily
    Indicates that one organization is related to another as part of the same organizational family, such as parent, subsidiary, or affiliate within a shared corporate or institutional structure.
  • E. fatherAffiliation
    Indicates that there is an affiliation or organizational association involving a person's father.
  • 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_69f34942465c819099b3fb47f9044f58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69f6d26f27dc8190ae426a3e1573933e completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:17 a.m.