Triple

T11173491
Position Surface form Disambiguated ID Type / Status
Subject Micheline Ostermeyer E264344 entity
Predicate hasOccupationCombination P98251 FINISHED
Object elite athlete and classical concert pianist 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: elite athlete and classical concert pianist | Statement: [Micheline Ostermeyer, hasOccupationCombination, elite athlete and classical concert pianist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOccupationCombination
Context triple: [Micheline Ostermeyer, hasOccupationCombination, elite athlete and classical concert pianist]
  • A. isOccupationalFormOf
    Indicates that one occupation is a specific form, variant, or specialization of another, more general occupation.
  • B. hasOccupationOfDesignee
    Indicates that one entity serves as the designated or appointed holder of an occupation or role for another entity.
  • C. hasOccupationTheme
    Indicates that something (such as a work or resource) centrally involves or focuses on a particular occupation or type of work as its main theme.
  • D. hasRelativeOccupation
    Indicates that two people are related in such a way that one’s occupation is defined or characterized in relation to the other’s occupation.
  • E. endedOccupationOf
    Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
  • F. None of above. chosen

Provenance (4 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e897774c819088ebc7231cebfba6 completed April 9, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69d75cf0e6e88190973694abe2990973 completed April 9, 2026, 8:01 a.m.
PDg Predicate description generation batch_69d7706116248190a87440bec3960884 completed April 9, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:29 p.m.