Triple

T7651127
Position Surface form Disambiguated ID Type / Status
Subject Prince Daniel, Duke of Västergötland E173252 entity
Predicate givenName P17 FINISHED
Object Olof E59853 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: Olof | Statement: [Prince Daniel, Duke of Västergötland, givenName, Olof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olof
Context triple: [Prince Daniel, Duke of Västergötland, givenName, Olof]
  • A. Olof chosen
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • B. Gustaf
    Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
  • C. Sebastian Knutsson
    Sebastian Knutsson is a Swedish entrepreneur and game designer best known as a co-founder and key creative force behind mobile gaming company King, the maker of Candy Crush Saga.
  • D. Göran
    Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
  • E. Pehr
    Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70175e4b88190bc40c839a42180d4 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ae293148190a30ef03a4a594fe6 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:58 p.m.