Triple

T20708645
Position Surface form Disambiguated ID Type / Status
Subject Ole Gunnar Solskjær E508973 entity
Predicate givenName P17 FINISHED
Object Ole 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: Ole | Statement: [Ole Gunnar Solskjær, givenName, Ole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ole
Context triple: [Ole Gunnar Solskjær, givenName, Ole]
  • A. Ole chosen
    Ole is a masculine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • B. Olle
    Olle is the given name of Olle Wästberg, a Swedish journalist, politician, and former director-general of the Swedish Institute.
  • C. Olef
    Olef is a river in western Germany that flows through North Rhine-Westphalia and Rhineland-Palatinate before joining the Rur.
  • D. Olewig
    Olewig is a district of the German city of Trier, known for its wine-growing tradition and scenic location along the Moselle.
  • E. Olev
    Olev is a character from the Estonian national epic "Kalevipoeg," known as one of the hero’s companions.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1952e888190877b79933970f7b0 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.