Triple

T22423291
Position Surface form Disambiguated ID Type / Status
Subject Erdős distinct distances problem E554301 entity
Predicate improvedLowerBoundProvedBy P144592 FINISHED
Object Larry Guth and Nets Hawk Katz NE NERFINISHED

How this triple was built (4 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: Larry Guth and Nets Hawk Katz | Statement: [Erdős distinct distances problem, improvedLowerBoundProvedBy, Larry Guth and Nets Hawk Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Guth and Nets Hawk Katz
Context triple: [Erdős distinct distances problem, improvedLowerBoundProvedBy, Larry Guth and Nets Hawk Katz]
  • A. Larry Guth
    Larry Guth is an American mathematician known for his influential work in combinatorial geometry, harmonic analysis, and incidence geometry.
  • B. Michael Ellenberg
    Michael Ellenberg is a television producer and media executive best known for developing and producing high-profile prestige series, including the Apple TV+ drama "The Morning Show."
  • C. Gil Kalai
    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.
  • D. Gábor Tardos
    Gábor Tardos is a Hungarian mathematician and computer scientist known for his contributions to combinatorics and theoretical computer science.
  • E. Terence Tao
    Terence Tao is an Australian-American mathematician renowned for his groundbreaking work in harmonic analysis, partial differential equations, additive combinatorics, and analytic number theory.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Larry Guth and Nets Hawk Katz
Target entity description: Larry Guth and Nets Hawk Katz are mathematicians renowned for their breakthrough work in combinatorial geometry, particularly their landmark improvement of the lower bound in the Erdős distinct distances problem.
  • A. Larry Guth chosen
    Larry Guth is an American mathematician known for his influential work in combinatorial geometry, harmonic analysis, and incidence geometry.
  • B. Michael Ellenberg
    Michael Ellenberg is a television producer and media executive best known for developing and producing high-profile prestige series, including the Apple TV+ drama "The Morning Show."
  • C. Gil Kalai
    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.
  • D. Gábor Tardos
    Gábor Tardos is a Hungarian mathematician and computer scientist known for his contributions to combinatorics and theoretical computer science.
  • E. Terence Tao
    Terence Tao is an Australian-American mathematician renowned for his groundbreaking work in harmonic analysis, partial differential equations, additive combinatorics, and analytic number theory.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: improvedLowerBoundProvedBy
Context triple: [Erdős distinct distances problem, improvedLowerBoundProvedBy, Larry Guth and Nets Hawk Katz]
  • A. knownLowerBoundProvedBy
    Indicates that a specific lower bound has been formally established or proven by a particular method, proof, or source.
  • B. provedInFullBy chosen
    Indicates that something (such as a claim, theorem, or statement) has been completely and rigorously demonstrated or established by a particular agent or source.
  • C. givesBoundOn
    Indicates that one quantity provides an upper or lower limit (a bound) on the value or behavior of another quantity.
  • D. partiallyProvenFor
    Indicates that something has been shown to hold or be true for part of a domain or set of cases, but not yet for all cases.
  • E. wasFirstProvedBy
    Indicates that a particular statement, theorem, or result was originally and for the first time demonstrated or established as true by a specified agent.
  • F. None of above.

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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2af620819083338127e78137dc completed April 29, 2026, 1:08 a.m.
PD Predicate disambiguation batch_69e898a327948190beee5e168006a0a7 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.