Triple

T12441681
Position Surface form Disambiguated ID Type / Status
Subject Hjördis Genberg E297286 entity
Predicate name P16 FINISHED
Object Hjördis Genberg E297286 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: Hjördis Genberg | Statement: [Hjördis Genberg, name, Hjördis Genberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjördis Genberg
Context triple: [Hjördis Genberg, name, Hjördis Genberg]
  • A. Hjördis Genberg chosen
    Hjördis Genberg was a Swedish fashion model and actress best known for her long and high-profile marriage to British actor David Niven.
  • B. Birgitta Ljungberg
    Birgitta Ljungberg is known as the wife of film director George P. Cosmatos.
  • C. Gudrun Rydstedt
    Gudrun Rydstedt was the wife of Swedish music executive and ABBA manager Stig Anderson.
  • D. Agneta Ekmanner
    Agneta Ekmanner is a Swedish actress known for her work in film and television, and for having been married to renowned tenor Nicolai Gedda.
  • E. Margareta Wästberg
    Margareta Wästberg is known as the spouse of Swedish writer and literary figure Per Wästberg.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8ecb6c8190a19cbf9de31cabbd completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0ea1e48190a11cf94797290156 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.