Triple

T12243015
Position Surface form Disambiguated ID Type / Status
Subject Jussi Björling E291781 entity
Predicate givenName P17 FINISHED
Object Jonatan E225875 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: Jonatan | Statement: [Jussi Björling, givenName, Jonatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonatan
Context triple: [Jussi Björling, givenName, Jonatan]
  • A. Jonatan chosen
    Jonatan is a masculine given name used in various languages, commonly regarded as a spelling variant of Jonathan.
  • B. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • C. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • D. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • E. Yonatan
    Yonatan is a Hebrew given name, commonly associated with the biblical figure Jonathan and meaning "God has given."
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb724448190be29fc1d2b946ab7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5ff68c81909d2796b24dd055f4 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.