Triple

T16095549
Position Surface form Disambiguated ID Type / Status
Subject Knudsen number E390473 entity
Predicate namedAfter P63 FINISHED
Object Martin Knudsen E1197877 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: Martin Knudsen | Statement: [Knudsen number, namedAfter, Martin Knudsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Knudsen
Context triple: [Knudsen number, namedAfter, Martin Knudsen]
  • A. Martin Knudsen chosen
    Martin Knudsen was a Danish physicist known for his pioneering work in gas dynamics and for the Knudsen number, a key dimensionless quantity in fluid mechanics.
  • B. Jens Martin Knudsen
    Jens Martin Knudsen was a Danish astrophysicist best known for his work on Martian meteorites and his key scientific role in NASA’s Mars Pathfinder mission.
  • C. Morris H. Knudsen
    Morris H. Knudsen was an American construction engineer and entrepreneur best known as a co-founder of the major engineering and construction firm Morrison-Knudsen.
  • D. Poul Martin Bendix
    Poul Martin Bendix is a physicist and academic known for supervising and mentoring researchers such as Lene Vestergaard Hau during their doctoral studies.
  • E. Peter B. Bendix
    Peter B. Bendix is a computer scientist known for co-developing the Knuth–Bendix completion algorithm, a fundamental method in automated theorem proving and term rewriting systems.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1859283008190baac96142b5c7e53 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeed4e008190b1e8d924b9dc9d37 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:59 a.m.