Triple

T7915441
Position Surface form Disambiguated ID Type / Status
Subject Warren Hellman E183813 entity
Predicate coFounded P104 FINISHED
Object Hellman & Friedman E13786 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: Hellman & Friedman | Statement: [Warren Hellman, coFounded, Hellman & Friedman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellman & Friedman
Context triple: [Warren Hellman, coFounded, Hellman & Friedman]
  • A. Hellman & Friedman chosen
    Hellman & Friedman is a San Francisco–based private equity firm known for large-scale investments in technology, financial services, and other sectors.
  • B. Hellman
    Hellman is a surname most notably associated with Martin Hellman, the American cryptologist and co-inventor of the Diffie–Hellman key exchange.
  • C. Jan Friedman
    Jan Friedman is a member of the Friedman family, known primarily as the child of economist Rose Friedman and thus part of a prominent lineage in economic thought.
  • D. Sidney Finkelstein
    Sidney Finkelstein was an American Marxist literary and music critic known for his analyses of culture and the arts from a leftist perspective.
  • E. Fredric G. Levin
    Fredric G. Levin was a prominent American trial lawyer and philanthropist known for his success in high-stakes personal injury and tobacco litigation.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5be54fdc81909a988114a6f30a13 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:05 p.m.