Triple

T93079
Position Surface form Disambiguated ID Type / Status
Subject Martin Hellman E1871 entity
Predicate name P16 FINISHED
Object Martin Hellman E1871 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: Martin Hellman | Statement: [Martin Hellman, name, Martin Hellman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Hellman
Context triple: [Martin Hellman, name, Martin Hellman]
  • A. Martin Hellman chosen
    Martin Hellman is an American cryptologist best known as a co-inventor of public-key cryptography, which revolutionized secure digital communication.
  • B. Whitfield Diffie
    Whitfield Diffie is an American cryptographer best known as a pioneer of public-key cryptography, whose work revolutionized secure digital communication.
  • C. Ralph Merkle
    Ralph Merkle is an American computer scientist and cryptographer known as a pioneer of public-key cryptography and for contributions such as Merkle trees and Merkle–Damgård hashing.
  • D. Silvio Micali
    Silvio Micali is an Italian computer scientist renowned for his foundational contributions to cryptography, zero-knowledge proofs, and secure protocols.
  • E. Shafi Goldwasser
    Shafi Goldwasser is an Israeli-American computer scientist renowned for her foundational contributions to cryptography and computational complexity theory.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd28e988190bde699647ee5b16b completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ce338f708190b9e5eba745d45ca6 completed Feb. 28, 2026, 11:14 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.