Triple

T2755956
Position Surface form Disambiguated ID Type / Status
Subject FSG Ventures E61099 entity
Predicate abbreviation P43 FINISHED
Object FSG Ventures E61099 NE 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: FSG Ventures | Statement: [FSG Ventures, abbreviation, FSG Ventures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FSG Ventures
Context triple: [FSG Ventures, abbreviation, FSG Ventures]
  • A. FSG Ventures chosen
    FSG Ventures is the investment arm of Fenway Sports Group, focusing on strategic and growth-oriented sports and entertainment-related investments.
  • B. Mohr Davidow Ventures
    Mohr Davidow Ventures is a Silicon Valley-based venture capital firm known for investing in early-stage technology and life sciences startups.
  • C. B Capital Group
    B Capital Group is a global venture capital and private equity firm that invests in high-growth technology and innovation-driven companies.
  • D. Founders Fund
    Founders Fund is a Silicon Valley venture capital firm known for backing ambitious, transformative technology companies at early and growth stages.
  • E. Kapor Capital
    Kapor Capital is an early-stage venture capital firm focused on investing in technology-driven startups that aim to close gaps in access, opportunity, and outcomes for underserved communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb718f4c8190bfc34c6597163ebc completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdd509c8190ac62aa6d50dea3a6 completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.