Triple

T2037091
Position Surface form Disambiguated ID Type / Status
Subject Lene Vestergaard Hau E44655 entity
Predicate givenName P17 FINISHED
Object Lene E200105 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 | Statement: [Lene Vestergaard Hau, givenName, Lene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lene
Context triple: [Lene Vestergaard Hau, givenName, Lene]
  • A. Lena Ek
    Lena Ek is a Swedish Centre Party politician and former Minister for the Environment in Sweden.
  • B. Charlotte Bruus Christensen
    Charlotte Bruus Christensen is a Danish cinematographer known for her atmospheric, naturalistic visual style in films such as "A Quiet Place" and "Fences."
  • C. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • D. Lena chosen
    Lena is a common feminine given name used in many languages, often derived from longer names such as Magdalena or Helena.
  • E. Rebekka Vaark
    Rebekka Vaark is a central character in Toni Morrison’s novel "A Mercy," depicted as a European immigrant wife navigating hardship, loss, and the complexities of early American colonial life on a remote farm.
  • 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.