Triple

T19478750
Position Surface form Disambiguated ID Type / Status
Subject John Vogelstein E487321 entity
Predicate employer P7 FINISHED
Object Warburg Pincus 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: Warburg Pincus | Statement: [John Vogelstein, employer, Warburg Pincus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warburg Pincus
Context triple: [John Vogelstein, employer, Warburg Pincus]
  • A. Warburg Pincus chosen
    Warburg Pincus is a global private equity firm known for growth investing across a wide range of industries and regions.
  • B. Permira
    Permira is a global private equity firm that invests in and acquires businesses across sectors such as technology, consumer, healthcare, and financial services.
  • C. 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.
  • D. The Carlyle Group
    The Carlyle Group is a major global private equity and investment firm known for managing large alternative asset portfolios and employing prominent political and financial figures.
  • E. Advent International
    Advent International is a global private equity firm that invests in companies across various sectors and regions, often focusing on buyouts and growth opportunities.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63437b9748190a8fc6bf6b3d90918 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.