Triple

T33210047
Position Surface form Disambiguated ID Type / Status
Subject Troy Phelan E850127 entity
Predicate hasLawyers P51204 FINISHED
Object Josh Stafford 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: Josh Stafford | Statement: [Troy Phelan, hasLawyers, Josh Stafford]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLawyers
Context triple: [Troy Phelan, hasLawyers, Josh Stafford]
  • A. attorneysAre
    Indicates that one or more entities serve in the role or capacity of attorneys for another entity or within a specified context.
  • B. numberOfLawyers
    Indicates the quantity of lawyers associated with a given entity or situation.
  • C. hasCounsel chosen
    Indicates that one entity serves as a legal advisor or representative (counsel) for another entity.
  • D. legalProfessionIncludes
    Indicates that a legal profession or role encompasses, involves, or includes another specified legal function, specialization, or activity.
  • E. allowsRepresentationByLawyers
    Indicates that one party permits or recognizes the right of another party to be represented by lawyers in a given context or proceeding.
  • 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_69f3495fb92c819083ce65d0ddee7a76 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fed48d8e148190a99c0aea29f8a3ee completed May 9, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69fed3c82a24819095e614e31ac0307f completed May 9, 2026, 6:27 a.m.
Created at: May 1, 2026, 1:30 a.m.