Triple

T10204561
Position Surface form Disambiguated ID Type / Status
Subject Anderssen E238968 entity
Predicate hasSpellingVariant P457 FINISHED
Object Andersen E206886 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: Andersen | Statement: [Anderssen, hasSpellingVariant, Andersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andersen
Context triple: [Anderssen, hasSpellingVariant, Andersen]
  • A. Andersen chosen
    Andersen is a common Scandinavian surname of Danish and Norwegian origin, meaning "son of Anders."
  • B. Hans Christian Andersen
    Hans Christian Andersen was a 19th-century Danish author best known worldwide for his enduring fairy tales such as "The Little Mermaid," "The Ugly Duckling," and "The Snow Queen."
  • C. Hendrik Christian Andersen
    Hendrik Christian Andersen was a Norwegian-American sculptor and urban planner best known for his grand utopian city designs and monumental sculptures created in Rome in the late 19th and early 20th centuries.
  • D. Hjalmar Andersen
    Hjalmar Andersen was a Norwegian speed skater who became one of the sport’s legends by winning three gold medals at the 1952 Winter Olympics in Oslo.
  • E. Andresen
    Andresen is a surname of Scandinavian origin, commonly used as a variant spelling of Andersen.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeed8644c8190b497aaf52583fa6d completed April 2, 2026, 4:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d318026ee88190961288fdbde73b08 completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:14 p.m.