Triple

T3165662
Position Surface form Disambiguated ID Type / Status
Subject Brigitte Nielsen E66205 entity
Predicate alsoKnownAs P39 FINISHED
Object Gitte Nielsen E335903 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: Gitte Nielsen | Statement: [Brigitte Nielsen, alsoKnownAs, Gitte Nielsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gitte Nielsen
Context triple: [Brigitte Nielsen, alsoKnownAs, Gitte Nielsen]
  • A. Gitte Nielsen chosen
    Gitte Nielsen is a Danish actress, model, and television personality best known for her roles in 1980s films such as "Red Sonja" and "Rocky IV."
  • B. Inge Nissen
    Inge Nissen is a former Danish basketball star best known for her standout collegiate career at Old Dominion University and subsequent induction into multiple halls of fame.
  • C. Suzanne Brøgger
    Suzanne Brøgger is a Danish author and essayist known for her provocative, feminist, and often autobiographical explorations of sexuality, identity, and social norms.
  • D. Hanne Grotjord
    Hanne Grotjord is the wife of Norwegian politician and former Prime Minister Thorbjørn Jagland.
  • E. Bergljot Bech
    Bergljot Bech was the wife of Norwegian Nobel Prize–winning author Knut Hamsun and a figure in early 20th-century Norwegian cultural life.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6424ee48190a29891ffbbc3811d completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261fd69dc8190a6005d1af2d12a11 completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:06 p.m.