Triple

T13410811
Position Surface form Disambiguated ID Type / Status
Subject Anja C. Andersen E320080 entity
Predicate familyName P18 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: [Anja C. Andersen, familyName, Andersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andersen
Context triple: [Anja C. Andersen, familyName, 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. Hans Axel
    Hans Axel was the given name of Axel von Fersen the Younger, a Swedish count, diplomat, and military officer best known for his close relationship with Marie Antoinette and his role in the French Revolution.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ccff08190aa4037aa5a48f7d0 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.