Triple

T7914364
Position Surface form Disambiguated ID Type / Status
Subject Haakon E183781 entity
Predicate hasVariant P455 FINISHED
Object Hakon E183781 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: Hakon | Statement: [Haakon, hasVariant, Hakon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hakon
Context triple: [Haakon, hasVariant, Hakon]
  • A. Haakon chosen
    Haakon is a Scandinavian male given name of Old Norse origin, traditionally borne by Norwegian kings and other notable figures.
  • B. Håkon
    Håkon is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway, depicted as a Norwegian child symbolizing the country’s heritage and Olympic spirit.
  • C. Hakon Jarl
    Hakon Jarl is a dramatic work by Danish poet and playwright Adam Oehlenschläger that draws on Norse history and legend surrounding the powerful earl of Lade in Viking-age Norway.
  • D. Olav Audunssøn
    Olav Audunssøn is the conflicted medieval Norwegian nobleman who serves as the central figure in Sigrid Undset’s historical novel cycle "The Master of Hestviken."
  • E. Haakon Magnus
    Haakon Magnus is the Crown Prince of Norway and heir apparent to the Norwegian throne.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccec781ac88190b52305beaa213415 completed April 1, 2026, 9:59 a.m.
Created at: March 30, 2026, 5:04 p.m.