Triple

T20486100
Position Surface form Disambiguated ID Type / Status
Subject American Cosa Nostra E502596 entity
Predicate typicalHierarchyRole P120019 FINISHED
Object boss 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: boss | Statement: [American Cosa Nostra, typicalHierarchyRole, boss]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalHierarchyRole
Context triple: [American Cosa Nostra, typicalHierarchyRole, boss]
  • A. typicalAdditionalRole
    Indicates that an entity commonly or characteristically holds an extra role or function in addition to its primary one.
  • B. typicalRole
    Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
  • C. typeOfRole
    Indicates that one entity specifies the kind or category of role that another entity holds or performs.
  • D. roleInTree chosen
    Indicates the specific position or function an entity occupies within a hierarchical tree structure relative to other entities.
  • E. stratificationRole
    Indicates the role or function an entity plays within a hierarchical or layered structure used to organize or classify elements.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5aac208190956c7fd935578d60 completed April 20, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69e59fcdf6e08190a604204615dc56e6 completed April 20, 2026, 3:38 a.m.
Created at: April 16, 2026, 11:34 a.m.