Triple

T14738910
Position Surface form Disambiguated ID Type / Status
Subject Nikolaj Malchow-Møller E346290 entity
Predicate name P16 FINISHED
Object Nikolaj Malchow-Møller E346290 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: Nikolaj Malchow-Møller | Statement: [Nikolaj Malchow-Møller, name, Nikolaj Malchow-Møller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolaj Malchow-Møller
Context triple: [Nikolaj Malchow-Møller, name, Nikolaj Malchow-Møller]
  • A. Nikolaj Malchow-Møller chosen
    Nikolaj Malchow-Møller is a Danish economist and academic leader who serves as the rector of Copenhagen Business School.
  • B. Christian Møller
    Christian Møller was a Danish theoretical physicist known for his contributions to quantum electrodynamics and the theory of relativity.
  • C. Poul Martin Møller
    Poul Martin Møller was a Danish philosopher, poet, and professor known for his influential contributions to Danish Romanticism and for mentoring the young Søren Kierkegaard.
  • D. Ingvard Eversen Nielsen
    Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
  • E. Jorgen Holmboe
    Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce6514c8190a37b023dcc0c1b1a completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:29 a.m.