Triple

T14877260
Position Surface form Disambiguated ID Type / Status
Subject Jeff Portnoy E349898 entity
Predicate hasVice P102734 FINISHED
Object drug abuse 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: drug abuse | Statement: [Jeff Portnoy, hasVice, drug abuse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVice
Context triple: [Jeff Portnoy, hasVice, drug abuse]
  • A. hasViceChair
    Indicates that an entity holds the role or position of vice chair in relation to another entity (such as an organization, committee, or group).
  • B. hasViceMayor
    Indicates that an entity holds the position of vice mayor for a given administrative or governmental body.
  • C. vice chosen
    Indicates a relationship where one entity serves as the deputy, subordinate leader, or second-in-command to another entity in a hierarchical structure.
  • D. hasViceChairTitle
    Indicates that an entity holds the position or bears the formal title of vice chair in relation to another entity or organization.
  • E. hadOutgoingVicePresidentPresent
    Indicates that a current or former vice president attended or was present at the referenced event or occasion.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69de8c1a2bcc81908f914e2e2ced65eb completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:55 a.m.