Triple

T18276418
Position Surface form Disambiguated ID Type / Status
Subject Ivan Damgård E437746 entity
Predicate coauthor P2389 FINISHED
Object Yuval Ishai 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: Yuval Ishai | Statement: [Ivan Damgård, coauthor, Yuval Ishai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuval Ishai
Context triple: [Ivan Damgård, coauthor, Yuval Ishai]
  • A. Yuval Ishai chosen
    Yuval Ishai is a computer scientist known for his influential work in cryptography, particularly in secure multiparty computation and related areas of theoretical cryptography.
  • B. Yair Shamir
    Yair Shamir is an Israeli businessman, former military officer, and politician who served as a government minister and is the son of former Prime Minister Yitzhak Shamir.
  • C. Iftach Haitner
    Iftach Haitner is an Israeli computer scientist and cryptographer known for his contributions to the foundations of cryptography and computational complexity.
  • D. Uriel Feige
    Uriel Feige is an Israeli computer scientist known for his influential work in computational complexity theory, approximation algorithms, and probabilistically checkable proofs.
  • E. Savi Gabizon
    Savi Gabizon is an Israeli film director and screenwriter known for his darkly comic, character-driven dramas such as "Nina’s Tragedies."
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500528bb88190a9f9ba6428cc2076 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.