Triple

T15554804
Position Surface form Disambiguated ID Type / Status
Subject Ole Kirk Christiansen E370839 entity
Predicate name P16 FINISHED
Object Ole Kirk Christiansen E370839 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: Ole Kirk Christiansen | Statement: [Ole Kirk Christiansen, name, Ole Kirk Christiansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ole Kirk Christiansen
Context triple: [Ole Kirk Christiansen, name, Ole Kirk Christiansen]
  • A. Ole Kirk Christiansen chosen
    Ole Kirk Christiansen was a Danish carpenter and entrepreneur who founded the LEGO company and pioneered its iconic building toys.
  • B. Stig Christiansen
    Stig Christiansen is a Norwegian football executive best known for serving as chairman of the Stavanger-based club Viking FK.
  • C. Peter Aalbæk Jensen
    Peter Aalbæk Jensen is a Danish film producer and co-founder of the influential production company Zentropa, known for his collaborations with prominent directors such as Lars von Trier.
  • D. Morten Jensen
    Morten Jensen is a Norwegian football coach best known for managing top-flight club Viking FK.
  • E. Thue Christiansen
    Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
  • 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_69ffb593258081909dcaf2b37fd28e63 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:09 a.m.