Triple

T37866622
Position Surface form Disambiguated ID Type / Status
Subject Christy Plunkett E944486 entity
Predicate inRecoveryFrom P101113 FINISHED
Object alcoholism 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: alcoholism | Statement: [Christy Plunkett, inRecoveryFrom, alcoholism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inRecoveryFrom
Context triple: [Christy Plunkett, inRecoveryFrom, alcoholism]
  • A. isRecoveringFrom chosen
    Indicates that one entity is in the process of regaining health, function, or normal condition following an illness, injury, or adverse event associated with another entity.
  • B. recoveredFrom
    Indicates that an entity has returned to a normal or improved state after previously experiencing or being affected by another specified condition, event, or problem.
  • C. recoveredIn
    Indicates that something lost, damaged, or impaired has been restored or regained within a particular context, process, or location.
  • D. recovery
    Indicates the process or state in which an entity regains a previous condition, function, or status after loss, damage, or decline.
  • E. recoveryBy
    Indicates that one entity regains or restores something (such as health, function, or a resource) through the action, intervention, or influence of another entity.
  • 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_69f76eee2f9c8190b1272aa2ee55ebf5 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbae559a8819086ef839973f8d9b2 completed May 6, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69fbb1440fa08190abf25ba684f75b6e completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:19 p.m.