Triple

T7915425
Position Surface form Disambiguated ID Type / Status
Subject Warren Hellman E183813 entity
Predicate familyName P18 FINISHED
Object Hellman E298544 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 | Statement: [Warren Hellman, familyName, Hellman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellman
Context triple: [Warren Hellman, familyName, Hellman]
  • A. Hellman
    Hellman is a surname most notably associated with Martin Hellman, the American cryptologist and co-inventor of the Diffie–Hellman key exchange.
  • B. Hellman & Friedman
    Hellman & Friedman is a San Francisco–based private equity firm known for large-scale investments in technology, financial services, and other sectors.
  • C. Hellman family chosen
    The Hellman family is a surname-bearing family line, likely encompassing multiple related individuals such as Herman Wouk Hellman.
  • D. Hennacy
    Hennacy is a surname most notably associated with Ammon Hennacy, an American Christian anarchist, pacifist, and social activist.
  • E. Hersh
    Hersh is the surname of Seymour Hersh, a prominent American investigative journalist known for exposing major political and military scandals.
  • 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.