Triple

T13507427
Position Surface form Disambiguated ID Type / Status
Subject Micha Sharir E321048 entity
Predicate hasCoAuthor P2389 FINISHED
Object Gil Kalai E1045602 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: Gil Kalai | Statement: [Micha Sharir, hasCoAuthor, Gil Kalai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gil Kalai
Context triple: [Micha Sharir, hasCoAuthor, Gil Kalai]
  • A. Gil Kalai chosen
    Gil Kalai is an Israeli mathematician and computer scientist known for his influential work in combinatorics, convexity, and the study of the foundations and limitations of quantum computing.
  • B. Ehud Kalai
    Ehud Kalai is an Israeli-American game theorist and economist known for his influential contributions to bargaining theory, game theory, and economic theory.
  • C. László Lovász
    László Lovász is a Hungarian mathematician renowned for his fundamental contributions to combinatorics, graph theory, and theoretical computer science, including work on the Lovász Local Lemma and the proof of the weak perfect graph conjecture.
  • D. Larry Guth
    Larry Guth is an American mathematician known for his influential work in combinatorial geometry, harmonic analysis, and incidence geometry.
  • E. Noga Alon
    Noga Alon is an Israeli mathematician renowned for his influential work in combinatorics, graph theory, and theoretical computer science.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9009688190b8f18bb3525c6afd completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:43 p.m.