Triple

T9958182
Position Surface form Disambiguated ID Type / Status
Subject Moni Naor E195495 entity
Predicate coAuthor P398 FINISHED
Object Omer Reingold E127857 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: Omer Reingold | Statement: [Moni Naor, coAuthor, Omer Reingold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omer Reingold
Context triple: [Moni Naor, coAuthor, Omer Reingold]
  • A. Omer Reingold chosen
    Omer Reingold is a prominent theoretical computer scientist known for his influential work in computational complexity and cryptography, including a landmark log-space algorithm for undirected graph connectivity.
  • B. Boaz Barak
    Boaz Barak is a prominent theoretical computer scientist known for his influential work in cryptography and computational complexity theory.
  • 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. Shafi Goldwasser
    Shafi Goldwasser is an Israeli-American computer scientist renowned for her foundational contributions to cryptography and computational complexity theory.
  • E. Oded Goldreich
    Oded Goldreich is an Israeli computer scientist renowned for his foundational contributions to cryptography, computational complexity, and the theory of pseudorandomness.
  • 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_69d299e3d5fc8190a953be3ebd8250e6 completed April 5, 2026, 5:20 p.m.
Created at: March 30, 2026, 8:46 p.m.