Triple

T26702443
Position Surface form Disambiguated ID Type / Status
Subject Shawn Maguire E673195 entity
Predicate hasCriminalEmpire P123601 FINISHED
Object New York City organized crime network 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 City organized crime network | Statement: [Shawn Maguire, hasCriminalEmpire, New York City organized crime network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCriminalEmpire
Context triple: [Shawn Maguire, hasCriminalEmpire, New York City organized crime network]
  • A. hasCriminalElement
    Indicates that the subject involves, contains, or is associated with an illegal or criminal component, activity, or characteristic.
  • B. hasCriminalCharacter
    Indicates that an entity possesses traits, behaviors, or a reputation associated with criminal activity or unlawful conduct.
  • C. hasCrimeGroup chosen
    Indicates a relationship where an entity is associated with, belongs to, or is controlled by a particular criminal group or organization.
  • D. hasCriminalJurisdictionOver
    Indicates that one authority or legal body holds the power to investigate, prosecute, and adjudicate criminal offenses committed within a specified scope or territory in relation to another entity.
  • E. hasCrimeElement
    Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
  • 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_69eecda2b49c8190a6c481cfc4c07954 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f66ec3d3d48190ab2f2b71939e572e completed May 2, 2026, 9:38 p.m.
Created at: April 27, 2026, 3:32 a.m.