Triple

T2037090
Position Surface form Disambiguated ID Type / Status
Subject Lene Vestergaard Hau E44655 entity
Predicate name P16 FINISHED
Object Lene Vestergaard Hau E44655 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: Lene Vestergaard Hau | Statement: [Lene Vestergaard Hau, name, Lene Vestergaard Hau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lene Vestergaard Hau
Context triple: [Lene Vestergaard Hau, name, Lene Vestergaard Hau]
  • A. Lene Vestergaard Hau chosen
    Lene Vestergaard Hau is a Danish physicist best known for her pioneering work in slowing and stopping light in ultracold atomic gases.
  • B. Mikkel E. G. Nielsen
    Mikkel E. G. Nielsen is a Danish film editor known for his work on acclaimed international films, including the war drama "Beasts of No Nation."
  • C. Ingvard Eversen Nielsen
    Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
  • D. Mikkel S. Eriksen
    Mikkel S. Eriksen is a Norwegian songwriter and record producer best known as one half of the hit-making production duo Stargate, which has crafted numerous chart-topping pop and R&B songs.
  • E. Nikolaj Bjørner
    Nikolaj Bjørner is a computer scientist best known for his work on automated theorem proving and the development of the Z3 SMT solver.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9363b608190b42aa6d3f3fd78c4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff38fb881909558e4d715a4d314 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.