Triple

T476270
Position Surface form Disambiguated ID Type / Status
Subject Louis Hellman E9067 entity
Predicate hasFamilyName P18 FINISHED
Object Hellman E9067 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: [Louis Hellman, hasFamilyName, Hellman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellman
Context triple: [Louis Hellman, hasFamilyName, Hellman]
  • A. Hellman chosen
    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. Dorothie Hellman
    Dorothie Hellman is an American peace activist and author known for her work on conflict resolution and for coauthoring books on personal and global peace with her husband, cryptographer Martin Hellman.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. Christine Grady
    Christine Grady is an American nurse-bioethicist who heads the Department of Bioethics at the National Institutes of Health Clinical Center and is known for her work on clinical research ethics.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f03b5e5081908ee3dba9d19a6871 completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4777ac3748190989ab6a9565d2c8a completed March 1, 2026, 5:29 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.