Triple

T3262240
Position Surface form Disambiguated ID Type / Status
Subject Cameron Douglas E68437 entity
Predicate hasThemeInWork P18026 FINISHED
Object addiction recovery 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: addiction recovery | Statement: [Cameron Douglas, hasThemeInWork, addiction recovery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThemeInWork
Context triple: [Cameron Douglas, hasThemeInWork, addiction recovery]
  • A. hasThemeConnection
    Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
  • B. hasPersonalThemes
    Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
  • C. hasCentralTheme
    Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
  • D. hasWorkSubject chosen
    Indicates that a work (such as a document, artwork, or project) is about or concerns a particular subject or topic.
  • E. hasWorkBy
    Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa908e881908cbb2ad137819ffb completed March 8, 2026, 5:19 p.m.
PD Predicate disambiguation batch_69ada41d7eac8190ada4bf5f793d5c49 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:09 p.m.