Triple

T15554806
Position Surface form Disambiguated ID Type / Status
Subject Ole Kirk Christiansen E370839 entity
Predicate familyName P18 FINISHED
Object Christiansen E336474 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: Christiansen | Statement: [Ole Kirk Christiansen, familyName, Christiansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiansen
Context triple: [Ole Kirk Christiansen, familyName, Christiansen]
  • A. Christiansen chosen
    Christiansen is a surname of Scandinavian origin borne by various individuals, including American television chef and author Sandra Lee.
  • B. Christian Christiansen
    Christian Christiansen was a Danish physicist and professor known for his work in optics and thermodynamics and for mentoring notable scientists, including Niels Bohr.
  • C. Kristensen
    Kristensen is a given name associated with the Norwegian historian and politician Ludvig Kristensen Daa.
  • D. Karlssen
    Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
  • E. Thorkildsen
    Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456209288190aba6debd434af741 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.