Triple

T27747513
Position Surface form Disambiguated ID Type / Status
Subject Anthony Anastasio E702025 entity
Predicate criminalAssociation P163544 FINISHED
Object organized crime on the New York waterfront 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: organized crime on the New York waterfront | Statement: [Anthony Anastasio, criminalAssociation, organized crime on the New York waterfront]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: criminalAssociation
Context triple: [Anthony Anastasio, criminalAssociation, organized crime on the New York waterfront]
  • A. criminalOrganization
    Indicates that the subject is an organized group engaged in ongoing illegal activities, often with structured hierarchy and coordination.
  • B. criminalType
    Indicates the specific category or classification of crime associated with a criminal act or offender.
  • C. declaredCriminalOrganizationIn
    Indicates that an authority has officially designated a group as a criminal organization within a specific jurisdiction or location.
  • D. associatedWithFictionalGang
    Indicates a relationship where an entity is linked or connected to a fictional gang, such as by membership, affiliation, or notable involvement.
  • E. partnerInCrime
    Indicates a relationship where two or more entities collaborate closely in committing or planning wrongful, illicit, or mischievous acts together.
  • F. None of above. chosen

Provenance (4 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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6397b64f881909d811225e57aac5e completed May 2, 2026, 5:50 p.m.
PD Predicate disambiguation batch_69f6370c8c7c8190a02ea82847bb6e76 completed May 2, 2026, 5:40 p.m.
PDg Predicate description generation batch_69f63893cc188190883ac9321a95d2dc completed May 2, 2026, 5:46 p.m.
Created at: April 27, 2026, 4:17 p.m.