Triple

T6239736
Position Surface form Disambiguated ID Type / Status
Subject April Rhodes E139568 entity
Predicate hasSubstanceAbuseIssue P42606 FINISHED
Object alcohol 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: alcohol | Statement: [April Rhodes, hasSubstanceAbuseIssue, alcohol]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubstanceAbuseIssue
Context triple: [April Rhodes, hasSubstanceAbuseIssue, alcohol]
  • A. hasAddictiveSubstance
    Indicates that an entity contains or involves a substance capable of causing addiction in those who use or consume it.
  • B. associatedWithSubstance chosen
    Indicates that one entity has a relevant connection or involvement with a particular substance, such as use, presence, exposure, or composition.
  • C. usedSubstance
    Indicates that an entity has consumed, applied, or otherwise made use of a particular substance.
  • D. isRecoveringAddict
    Indicates that an individual is in the process of recovering from addiction, typically through ongoing treatment, support, or personal efforts to maintain sobriety.
  • E. hasAddictionPotential
    Indicates that one entity (typically a substance or activity) has the capacity to cause another entity (typically a person) to develop dependence or addictive behavior toward it.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063067d9c819085a18d9d03939266 completed March 22, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69c05601de6481909d0880048fd7b49a completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:23 p.m.