Triple

T5002777
Position Surface form Disambiguated ID Type / Status
Subject Danny Kaye E112411 entity
Predicate notableWork P4 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: [Danny Kaye, notableWork, Hans Christian Andersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Christian Andersen
Context triple: [Danny Kaye, notableWork, 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72c062d08190b755fa7461839f52 completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be92598ff88190b63a589524180272 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.