Triple

T18534071
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Kaaren E452915 entity
Predicate birthName P65 FINISHED
Object Suzanne Kaaren NE NERFINISHED

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: Suzanne Kaaren | Statement: [Suzanne Kaaren, birthName, Suzanne Kaaren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzanne Kaaren
Context triple: [Suzanne Kaaren, birthName, Suzanne Kaaren]
  • A. Suzanne Kaaren chosen
    Suzanne Kaaren was an American film actress and model active in the 1930s and 1940s, known for her roles in B-movies and as one of the original Rockettes at Radio City Music Hall.
  • B. Kaaren Verne
    Kaaren Verne was a German-born actress known for her roles in Hollywood films of the 1940s, often portraying European characters during World War II–era productions.
  • C. Suzzanna Hart
    Suzzanna Hart is known as the spouse of American experimental filmmaker and poet James Broughton.
  • D. Suzanne Caron
    Suzanne Caron is a person notable enough to be recognized as a bearer of the surname Caron, though specific widely known biographical details about her are not clearly established.
  • E. Susanne Daniels
    Susanne Daniels is an American television executive and producer known for her leadership roles at networks like The WB, MTV, and YouTube Originals, where she developed numerous hit series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53400d548819080b17f30b3ee7174 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.