Triple

T20099829
Position Surface form Disambiguated ID Type / Status
Subject Connie Snyder E496503 entity
Predicate employer P7 FINISHED
Object Ballmer Group NE NERFINISHED

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: Ballmer Group | Statement: [Connie Snyder, employer, Ballmer Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballmer Group
Context triple: [Connie Snyder, employer, Ballmer Group]
  • A. Ballmer Group chosen
    Ballmer Group is a philanthropic organization focused on improving economic mobility and opportunities for children and families in the United States, funded primarily by former Microsoft CEO Steve Ballmer and Connie Snyder.
  • B. Gates Ventures
    Gates Ventures is Bill Gates’s private office and innovation lab that manages his investments, strategic initiatives, and philanthropic support projects.
  • C. Microsoft
    Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
  • D. The Perot Group
    The Perot Group is a private investment and asset management firm founded by the Perot family that oversees and grows their diverse business interests.
  • E. Brigade Group
    Brigade Group is a major Indian real estate developer known for building large-scale residential, commercial, and mixed-use projects, particularly in South India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666f2298819089659f13556ca305 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:26 p.m.