Triple

T18276397
Position Surface form Disambiguated ID Type / Status
Subject Ivan Damgård E437746 entity
Predicate familyName P18 FINISHED
Object Damgård NE NERFINISHED

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: Damgård | Statement: [Ivan Damgård, familyName, Damgård]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damgård
Context triple: [Ivan Damgård, familyName, Damgård]
  • A. Filskov
    Filskov is a small village in central Jutland, Denmark, known as the birthplace of LEGO founder Ole Kirk Christiansen.
  • B. Sandvig
    Sandvig is a coastal village on the northern tip of the Danish island of Bornholm, known for its scenic rocky shoreline and role as part of the twin town Allinge-Sandvig.
  • C. Björklund
    Björklund is a Swedish surname borne by various notable individuals, including politicians, athletes, and artists.
  • D. Mogensen chosen
    Mogensen is a Danish surname borne by various notable individuals in fields such as politics, sports, and science.
  • E. Balkhausen
    Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500528bb88190a9f9ba6428cc2076 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.