Triple

T14721037
Position Surface form Disambiguated ID Type / Status
Subject Valiant–Vazirani theorem E345812 entity
Predicate originalAuthors P36855 FINISHED
Object Vijay Vazirani E1118414 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: Vijay Vazirani | Statement: [Valiant–Vazirani theorem, originalAuthors, Vijay Vazirani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vijay Vazirani
Context triple: [Valiant–Vazirani theorem, originalAuthors, Vijay Vazirani]
  • A. Vijay Vazirani chosen
    Vijay Vazirani is an Indian-American theoretical computer scientist known for his influential work in algorithms, computational complexity, and approximation algorithms.
  • B. Rajeev Motwani
    Rajeev Motwani was an influential Indian-American computer scientist known for his contributions to theoretical computer science, algorithms, and his mentorship in Silicon Valley.
  • C. S. Rao Kosaraju
    S. Rao Kosaraju is a computer scientist known for his contributions to algorithm design and graph theory, including early work on strongly connected components algorithms.
  • D. John E. Hopcroft
    John E. Hopcroft is an American computer scientist renowned for his foundational contributions to algorithms and automata theory and as a coauthor of the classic textbook "Introduction to Automata Theory, Languages, and Computation."
  • E. Subhash Suri
    Subhash Suri is a computer scientist known for his contributions to algorithms, computational geometry, and network routing.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25d56fc8190871873ca55d49272 completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388792688190b1b6eaa8091733fb completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:29 a.m.