Triple

T22143433
Position Surface form Disambiguated ID Type / Status
Subject Garrett Gruener E547222 entity
Predicate employer P7 FINISHED
Object Alta Partners 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: Alta Partners | Statement: [Garrett Gruener, employer, Alta Partners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alta Partners
Context triple: [Garrett Gruener, employer, Alta Partners]
  • A. Alta Partners chosen
    Alta Partners is a venture capital firm known for investing in early-stage life sciences and technology companies.
  • B. Eaglevale Partners
    Eaglevale Partners was a New York–based hedge fund co-founded by Marc Mezvinsky that focused on global macroeconomic investments.
  • C. Elevation Partners
    Elevation Partners is a private equity firm focused on media, entertainment, and technology investments, co-founded by prominent investor Roger McNamee.
  • D. Sun Capital Partners
    Sun Capital Partners is a U.S.-based private equity firm known for acquiring and restructuring underperforming companies across a range of industries.
  • E. Terra Firma Capital Partners
    Terra Firma Capital Partners is a UK-based private equity firm known for high-profile leveraged buyouts across sectors including music, real estate, and infrastructure.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129c045448190b3d189cdb8c0d2fd completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.