Triple

T9958219
Position Surface form Disambiguated ID Type / Status
Subject Amos Fiat E195496 entity
Predicate coAuthor P398 FINISHED
Object Noam Nisan E523342 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: Noam Nisan | Statement: [Amos Fiat, coAuthor, Noam Nisan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noam Nisan
Context triple: [Amos Fiat, coAuthor, Noam Nisan]
  • A. Noam Nisan chosen
    Noam Nisan is an Israeli computer scientist known for his influential work in computational complexity, algorithmic game theory, and communication complexity, and for co-authoring foundational textbooks in these areas.
  • B. Shmuel Winograd
    Shmuel Winograd was a prominent computer scientist known for his influential work in computational complexity and fast algorithms, particularly in matrix multiplication.
  • C. Michael Rabin
    Michael Rabin is an Israeli computer scientist and Turing Award laureate renowned for his foundational contributions to automata theory, cryptography, and randomized algorithms.
  • D. Manuel Blum
    Manuel Blum is a Venezuelan-American computer scientist and Turing Award laureate renowned for his foundational contributions to computational complexity theory and cryptography.
  • E. Leslie Valiant
    Leslie Valiant is a renowned computer scientist known for his foundational work in computational learning theory, complexity theory, and artificial intelligence.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cec7dc8190bb7e43c82a317707 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d7988948190bae81c1020f2b605 completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:46 p.m.