Triple

T17619958
Position Surface form Disambiguated ID Type / Status
Subject Isaias W. Hellman E429683 entity
Predicate familyName P18 FINISHED
Object Hellman 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: Hellman | Statement: [Isaias W. Hellman, familyName, Hellman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellman
Context triple: [Isaias W. Hellman, familyName, Hellman]
  • A. Hellman
    Hellman is a character from the 1973 film "Oklahoma Crude," a Western comedy-drama about an independent oil driller battling powerful corporate interests.
  • B. Hellman chosen
    Hellman is a surname most notably associated with Martin Hellman, the American cryptologist and co-inventor of the Diffie–Hellman key exchange.
  • C. Hellman & Friedman
    Hellman & Friedman is a San Francisco–based private equity firm known for large-scale investments in technology, financial services, and other sectors.
  • D. Hennacy
    Hennacy is a surname most notably associated with Ammon Hennacy, an American Christian anarchist, pacifist, and social activist.
  • E. Judith Hellman
    Judith Hellman is one of the children of the late American financier and philanthropist Warren Hellman, known for his investments and major cultural and charitable contributions, particularly in San Francisco.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3547d88190ae3c9ffed63133c9 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.