Triple

T7060476
Position Surface form Disambiguated ID Type / Status
Subject Odense E164202 entity
Predicate birthplaceOf P1 FINISHED
Object Hans Christian Andersen E160165 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: Hans Christian Andersen | Statement: [Odense, birthplaceOf, Hans Christian Andersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Christian Andersen
Context triple: [Odense, birthplaceOf, Hans Christian Andersen]
  • A. Hans Christian Andersen chosen
    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."
  • B. Andersen
    Andersen is a common Scandinavian surname of Danish and Norwegian origin, meaning "son of Anders."
  • C. Heinrich Hoffmann
    Heinrich Hoffmann was Adolf Hitler’s personal photographer and a prominent Nazi-era photographer and publisher whose studio employed Eva Braun.
  • D. Erik Axel Eriksson
    Erik Axel Eriksson, better known as Erik Axel Karlfeldt, was a Swedish poet and Nobel Prize in Literature laureate renowned for his nature-inspired and rural-themed poetry.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e459de348190912cd5326fb8bee0 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788af20cc819084542035410aafbd completed March 28, 2026, 7:52 a.m.
Created at: March 27, 2026, 2:38 p.m.