Triple

T18325638
Position Surface form Disambiguated ID Type / Status
Subject TIBCO Software E438997 entity
Predicate acquiredBy P347 FINISHED
Object Vista Equity 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: Vista Equity Partners | Statement: [TIBCO Software, acquiredBy, Vista Equity Partners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vista Equity Partners
Context triple: [TIBCO Software, acquiredBy, Vista Equity Partners]
  • A. Vista Equity Partners chosen
    Vista Equity Partners is a leading American private equity firm specializing in software, data, and technology-enabled businesses.
  • B. Veritas Capital
    Veritas Capital is a private equity firm that specializes in investing in technology and government-related companies, particularly in sectors like healthcare, defense, and education.
  • C. NextEquity Partners
    NextEquity Partners is a venture capital and private equity firm known for investing in growth-stage technology and innovation-driven companies.
  • D. Thoma Bravo
    Thoma Bravo is a leading private equity investment firm known for acquiring and growing software and technology companies.
  • E. CVC Capital Partners
    CVC Capital Partners is a global private equity and investment advisory firm known for acquiring and managing major companies across various industries.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aaa66ac819082ec718e8329e0cc completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.