Triple

T8803176
Position Surface form Disambiguated ID Type / Status
Subject Pernilla August E209458 entity
Predicate spouse P13 FINISHED
Object Klas Östergren E208902 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: Klas Östergren | Statement: [Pernilla August, spouse, Klas Östergren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klas Östergren
Context triple: [Pernilla August, spouse, Klas Östergren]
  • A. Klas Östergren chosen
    Klas Östergren is a prominent Swedish novelist, screenwriter, and translator known for works such as "Gentlemen" and his contributions to contemporary Scandinavian literature.
  • B. Ted Gärdestad
    Ted Gärdestad was a Swedish singer-songwriter and musician known for his melodic pop songs in the 1970s and collaborations with members of ABBA.
  • C. Björn Waldegård
    Björn Waldegård was a Swedish rally driver and the inaugural World Rally Championship drivers’ title winner, renowned for his success with multiple manufacturers during the 1970s and 1980s.
  • D. Leif Sjöberg
    Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
  • E. Carl Lindström
    Carl Lindström was a pioneering early 20th-century German-Swedish record industry entrepreneur whose company became a major force in European recorded music.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbb5b108190a9f889d40aa20521 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab60ee608190af9f4aba631b42ef completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:44 p.m.