Triple

T18312886
Position Surface form Disambiguated ID Type / Status
Subject Anna-Lisa Hansson E438673 entity
Predicate familyName P18 FINISHED
Object Hansson 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: Hansson | Statement: [Anna-Lisa Hansson, familyName, Hansson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hansson
Context triple: [Anna-Lisa Hansson, familyName, Hansson]
  • A. Hansson chosen
    Hansson is a common Swedish surname borne by numerous notable figures in politics, sports, and the arts.
  • B. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • C. Svante
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • D. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • E. Williamsson
    Williamsson is a Scandinavian patronymic surname, likely meaning "son of William" and used as a variant of the more common form Williamson.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021a96b48190976273be3ff3e5c6 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.