Triple

T23559104
Position Surface form Disambiguated ID Type / Status
Subject Owney Madden E579177 entity
Predicate activityInLaterLife P81335 FINISHED
Object hotel ownership in Hot Springs 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: hotel ownership in Hot Springs | Statement: [Owney Madden, activityInLaterLife, hotel ownership in Hot Springs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: activityInLaterLife
Context triple: [Owney Madden, activityInLaterLife, hotel ownership in Hot Springs]
  • A. spentLaterLifeAt
    Indicates that an individual resided, worked, or was primarily based at a particular place during the later period of their life.
  • B. sharedLaterLifeWith
    Indicates that two entities spent a significant portion of their later life period together, sharing circumstances, experiences, or close association during that time.
  • C. laterLifePractice chosen
    Indicates that an individual engaged in a particular activity, role, or practice during the later period of their life.
  • D. laterLifeEvent
    Indicates that one event, condition, or action occurs during a later stage in an entity’s life relative to earlier life phases.
  • 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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af6663e0819081d654da38cf3aa9 completed April 29, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69f118afabd88190bd88f49597d120e8 completed April 28, 2026, 8:29 p.m.
Created at: April 17, 2026, 6:12 p.m.