Triple

T23594694
Position Surface form Disambiguated ID Type / Status
Subject Harmonizers E582579 entity
Predicate supportsMemberSoloCareers P152850 FINISHED
Object true 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: true | Statement: [Harmonizers, supportsMemberSoloCareers, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMemberSoloCareers
Context triple: [Harmonizers, supportsMemberSoloCareers, true]
  • A. supportedCareerOf
    Indicates that one entity provided assistance, resources, or endorsement that helped establish or advance another entity’s career.
  • B. supportsCareerStage
    Indicates that one entity provides resources, opportunities, or conditions that are appropriate or beneficial for another entity’s specific stage in their career.
  • C. supportsRole
    Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
  • D. supportsForeignMembers
    Indicates that an entity provides assistance, resources, or favorable conditions specifically to members originating from other countries or external organizations.
  • E. sponsorOccupation
    Indicates that one entity serves as the occupation or professional role of a sponsor associated with another entity.
  • 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_69e248f9e0a08190814772847003b1ff completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b08e9aa4819091099dfc2074b22d completed April 29, 2026, 7:17 a.m.
PD Predicate disambiguation batch_69f118c96a0081908a8ac98ef7e7e60c completed April 28, 2026, 8:30 p.m.
PDg Predicate description generation batch_69f121cc494081908c987adfcde89b0e completed April 28, 2026, 9:08 p.m.
Created at: April 17, 2026, 6:42 p.m.