Triple

T12256102
Position Surface form Disambiguated ID Type / Status
Subject Olof Lagercrantz E292104 entity
Predicate familyName P18 FINISHED
Object Lagercrantz
Lagercrantz is a Swedish surname associated with several notable figures in literature, journalism, and public life.
 E972670 NE FINISHED

How this triple was built (4 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: Lagercrantz | Statement: [Olof Lagercrantz, familyName, Lagercrantz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lagercrantz
Context triple: [Olof Lagercrantz, familyName, Lagercrantz]
  • A. Gyllensten
    Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
  • B. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • C. Geijer
    Geijer is a Swedish surname most notably associated with Erik Gustaf Geijer, a prominent 19th-century writer, historian, and philosopher.
  • D. Krasker
    Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
  • E. Lagercrantzen
    Lagercrantzen is a Swedish literary award named after the prominent critic and author Olof Lagercrantz, given in recognition of significant contributions to literature or literary criticism.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lagercrantz
Triple: [Olof Lagercrantz, familyName, Lagercrantz]
Generated description
Lagercrantz is a Swedish surname associated with several notable figures in literature, journalism, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lagercrantz
Target entity description: Lagercrantz is a Swedish surname associated with several notable figures in literature, journalism, and public life.
  • A. Gyllensten
    Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
  • B. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • C. Geijer
    Geijer is a Swedish surname most notably associated with Erik Gustaf Geijer, a prominent 19th-century writer, historian, and philosopher.
  • D. Krasker
    Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
  • E. Lagercrantzen
    Lagercrantzen is a Swedish literary award named after the prominent critic and author Olof Lagercrantz, given in recognition of significant contributions to literature or literary criticism.
  • F. None of above. chosen

Provenance (5 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abdc5988190a19104385f54fb06 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60d8456d881908b5647b77fc53780 completed May 2, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60e2c52b0819094c8e67286235400 completed May 2, 2026, 2:46 p.m.
Created at: April 8, 2026, 9:52 p.m.