Triple

T31495589
Position Surface form Disambiguated ID Type / Status
Subject Rose Dawson Calvert E803530 entity
Predicate occupationLaterLife P19158 FINISHED
Object artist (implied by paintings and photos) 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: artist (implied by paintings and photos) | Statement: [Rose Dawson Calvert, occupationLaterLife, artist (implied by paintings and photos)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: occupationLaterLife
Context triple: [Rose Dawson Calvert, occupationLaterLife, artist (implied by paintings and photos)]
  • A. spentLaterLifeAt
    Indicates that an individual resided, worked, or was primarily based at a particular place during the later period of their life.
  • B. laterCareer chosen
    Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
  • C. roleAfterRetirement
    Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
  • D. laterCareerInterest
    Indicates that an entity develops or expresses interest in a particular career or professional field at a later stage in time, relative to an earlier period or context.
  • E. retiredToPursue
    Indicates that an entity voluntarily left a position, role, or career in order to actively follow or focus on another specific activity, goal, or interest.
  • 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_69f348cae52081909fa8e5f697523ae3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b967d5308190bbb66d0a8dd52612 completed May 3, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69f6b6293188819080d5041ca0adb969 completed May 3, 2026, 2:42 a.m.
Created at: April 30, 2026, 9:41 p.m.