Triple

T18641469
Position Surface form Disambiguated ID Type / Status
Subject Patrick Mouratoglou E455696 entity
Predicate coached P2169 FINISHED
Object Holger Rune NE NERFINISHED

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: Holger Rune | Statement: [Patrick Mouratoglou, coached, Holger Rune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holger Rune
Context triple: [Patrick Mouratoglou, coached, Holger Rune]
  • A. Holger Rune chosen
    Holger Rune is a Danish professional tennis player known for his powerful baseline game and rapid rise into the sport’s top ranks.
  • B. Lars Markgren
    Lars Markgren is a co-founder of King Digital Entertainment, the company best known for creating the popular mobile game Candy Crush Saga.
  • C. Jan-Lennard Struff
    Jan-Lennard Struff is a German professional tennis player known for his powerful serve, aggressive baseline game, and success in both singles and doubles on the ATP Tour.
  • D. Christian Groth
    Christian Groth is a Danish economist known for his contributions to macroeconomic theory, particularly in the areas of growth and development economics.
  • E. Viktor Axelsen
    Viktor Axelsen is a Danish badminton player renowned as one of the world’s leading men’s singles competitors and an Olympic gold medalist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fccafec8190a340356d5bbd3cdf completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:47 a.m.