Triple

T22487706
Position Surface form Disambiguated ID Type / Status
Subject Borg E555934 entity
Predicate usedByNotablePerson P37984 FINISHED
Object Björn Borg 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: Björn Borg | Statement: [Borg, usedByNotablePerson, Björn Borg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Björn Borg
Context triple: [Borg, usedByNotablePerson, Björn Borg]
  • A. Björn Borg chosen
    Björn Borg is a Swedish tennis legend renowned for his ice-cool demeanor and dominance in the 1970s, particularly his six French Open and five consecutive Wimbledon titles.
  • B. Jan Groth
    Jan Groth is a Norwegian visual artist renowned for his minimalist, tapestry-based works and his exploration of line and abstraction.
  • C. George Humbert
    George Humbert was an Italian-born American character actor known for his numerous supporting roles in Hollywood films during the early 20th century.
  • D. Jiri Lendl
    Jiri Lendl is known primarily as the son of Czech-American tennis legend Ivan Lendl.
  • E. Don Budge
    Don Budge was an American tennis player renowned for being the first man to achieve the calendar-year Grand Slam in 1938 and for his powerful backhand and dominance in the late 1930s.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3e73108190be5ca89ea96a85e4 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.