Triple

T5392988
Position Surface form Disambiguated ID Type / Status
Subject Håstad’s switching lemma E120579 entity
Predicate namedAfter P63 FINISHED
Object Johan Håstad E22525 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: Johan Håstad | Statement: [Håstad’s switching lemma, namedAfter, Johan Håstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johan Håstad
Context triple: [Håstad’s switching lemma, namedAfter, Johan Håstad]
  • A. Johan Håstad chosen
    Johan Håstad is a Swedish theoretical computer scientist renowned for his groundbreaking work in computational complexity theory, particularly optimal inapproximability results and contributions to the PCP theorem.
  • B. 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.
  • C. Richard Karp
    Richard Karp is a renowned American computer scientist best known for his foundational work in computational complexity theory and combinatorial algorithms, including the theory of NP-completeness.
  • D. Miklos Ajtai
    Miklós Ajtai is a Hungarian-American computer scientist renowned for his foundational contributions to computational complexity theory and lattice-based cryptography.
  • E. Nikolaj Bjørner
    Nikolaj Bjørner is a computer scientist best known for his work on automated theorem proving and the development of the Z3 SMT solver.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd871b81d08190993928e2c6251226 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf336d43a081909ab05d237c297c7b completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.