Triple

T3327041
Position Surface form Disambiguated ID Type / Status
Subject Joachim E69939 entity
Predicate hasVariantForm P457 FINISHED
Object Joakim E69939 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: Joakim | Statement: [Joachim, hasVariantForm, Joakim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joakim
Context triple: [Joachim, hasVariantForm, Joakim]
  • A. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • 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. Killian Marcus Nielsen
    Killian Marcus Nielsen is one of the children of Danish actress and model Brigitte Nielsen.
  • D. Jonas Lie
    Jonas Lie was a prominent Norwegian novelist and short story writer of the late 19th century, known for his realistic depictions of Norwegian society and coastal life.
  • E. Joachim chosen
    Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16dc170819086a63e033e17d8b3 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7ce34c81908df0c30a41fd925c completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.