Triple

T8656617
Position Surface form Disambiguated ID Type / Status
Subject Torgny Lindgren E205435 entity
Predicate familyName P18 FINISHED
Object Lindgren E205435 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: Lindgren | Statement: [Torgny Lindgren, familyName, Lindgren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindgren
Context triple: [Torgny Lindgren, familyName, Lindgren]
  • A. Torgny Lindgren chosen
    Torgny Lindgren was a renowned Swedish author and member of the Swedish Academy, celebrated for his novels and short stories often set in rural Västerbotten.
  • B. Astrid Lindgren
    Astrid Lindgren was a renowned Swedish author best known for her beloved children's books, including the Pippi Longstocking series, which have had a lasting global impact on children's literature.
  • C. Jansson
    Jansson is a Finnish surname most famously borne by Tove Jansson, the creator of the Moomin series.
  • D. Lagerkvist
    Lagerkvist is a Swedish surname most famously borne by Nobel Prize–winning author Pär Lagerkvist.
  • E. Lundh
    Lundh is a variant form of the Scandinavian surname Lund, which is associated with families originating from regions such as Sweden and Denmark.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484569788190aa41395854684e6f completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecce40c248190b4f2b21a1ecde80b completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.