Triple

T2645214
Position Surface form Disambiguated ID Type / Status
Subject Muff Potter E62966 entity
Predicate hasAddiction P16449 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: [Muff Potter, hasAddiction, alcohol]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAddiction
Context triple: [Muff Potter, hasAddiction, alcohol]
  • A. addiction chosen
    Indicates a compulsive dependence of one entity on a substance, activity, or behavior, typically despite negative consequences and difficulty stopping.
  • B. 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.
  • C. drinkingHabit
    Indicates an entity’s typical pattern or frequency of consuming alcoholic or other beverages.
  • D. usesDrug
    Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
  • E. hasNotableDrug
    Indicates that an entity is associated with a drug that is considered notable or significant in some recognized context.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd917192081908e7a2cf780a17b83 completed March 7, 2026, 7:51 a.m.
PD Predicate disambiguation batch_69abd814298c8190952f05aed43f6bb8 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:53 p.m.