Triple

T14525893
Position Surface form Disambiguated ID Type / Status
Subject Ludwig van Beethoven E340774 entity
Predicate familyName P18 FINISHED
Object van Beethoven E7211 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: van Beethoven | Statement: [Ludwig van Beethoven, familyName, van Beethoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: van Beethoven
Context triple: [Ludwig van Beethoven, familyName, van Beethoven]
  • A. Beethoven
    Beethoven is a 1992 family comedy film about a mischievous St. Bernard dog and the suburban family that adopts him.
  • B. Ludwig van Beethoven chosen
    Ludwig van Beethoven was a pioneering German composer and pianist whose works bridged the Classical and Romantic eras and profoundly shaped Western music.
  • C. Johann van Beethoven
    Johann van Beethoven was a German musician and tenor singer best known as the father of composer Ludwig van Beethoven.
  • D. Kaspar Anton Karl van Beethoven
    Kaspar Anton Karl van Beethoven was the younger brother of composer Ludwig van Beethoven, known primarily for his close and often troubled relationship with the famous musician, including a contentious custody battle over his son.
  • E. Mendelssohn
    Mendelssohn is a Grade 1-winning Thoroughbred racehorse, best known for his dominant victory in the 2018 UAE Derby and subsequent career as a breeding stallion.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea050781881909ed685d94479bf99 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94acd8288190a91bf09220126e13 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:22 a.m.