Triple

T20399460
Position Surface form Disambiguated ID Type / Status
Subject Lytro E500291 entity
Predicate investor P27018 FINISHED
Object Greylock 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: Greylock Partners | Statement: [Lytro, investor, Greylock Partners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greylock Partners
Context triple: [Lytro, investor, Greylock Partners]
  • A. Greylock Partners chosen
    Greylock Partners is a prominent Silicon Valley venture capital firm known for early-stage investments in leading technology companies such as Facebook, LinkedIn, and Airbnb.
  • B. Arch Venture Partners
    Arch Venture Partners is a prominent venture capital firm known for investing in early-stage life sciences and technology companies.
  • C. Sycamore Partners
    Sycamore Partners is a private equity firm known for acquiring and restructuring retail and consumer brands in the United States.
  • D. Greenlight Capital
    Greenlight Capital is a hedge fund known for its value-oriented, often contrarian investment strategies and high-profile short positions, founded and led by investor David Einhorn.
  • E. NextEquity Partners
    NextEquity Partners is a venture capital and private equity firm known for investing in growth-stage technology and innovation-driven companies.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798cf04481909f183c4c75fe6d52 completed April 20, 2026, 7:07 p.m.
Created at: April 16, 2026, 11:29 a.m.