Triple

T3165660
Position Surface form Disambiguated ID Type / Status
Subject Brigitte Nielsen E66205 entity
Predicate name P16 FINISHED
Object Brigitte Nielsen E66205 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: Brigitte Nielsen | Statement: [Brigitte Nielsen, name, Brigitte Nielsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigitte Nielsen
Context triple: [Brigitte Nielsen, name, Brigitte Nielsen]
  • A. Brigitte Nielsen chosen
    Brigitte Nielsen is a Danish actress, model, and television personality known for her roles in 1980s action films and her high-profile marriage to Sylvester Stallone.
  • B. Regine Olsen
    Regine Olsen was a 19th-century Danish woman best known as the fiancée and muse of philosopher Søren Kierkegaard, whose broken engagement to her profoundly shaped his life and writings.
  • C. 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.
  • D. Brigitte Seebacher
    Brigitte Seebacher is a German historian and publicist best known for her work on political history and for being the third wife of former German chancellor Willy Brandt.
  • E. Sara Esberg
    Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
  • 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_69b235dca2848190bc2a46d6dd1c9fc7 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.