Triple

T12342002
Position Surface form Disambiguated ID Type / Status
Subject Van Amsberg E294249 entity
Predicate hasMember P10 FINISHED
Object Claus von Amsberg E131786 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: Claus von Amsberg | Statement: [Van Amsberg, hasMember, Claus von Amsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claus von Amsberg
Context triple: [Van Amsberg, hasMember, Claus von Amsberg]
  • A. Claus von Amsberg chosen
    Claus von Amsberg was a German-born diplomat who became Prince Claus of the Netherlands as the husband of Queen Beatrix and the father of King Willem-Alexander.
  • B. Robert von Bahr
    Robert von Bahr is a Swedish music executive best known as the founder and longtime leader of the classical music label BIS Records, recognized for its high-quality and often pioneering recordings.
  • C. Klaus Thiel
    Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
  • D. Jörg von Halsbach
    Jörg von Halsbach was a 15th-century German master builder best known for designing Munich’s iconic late Gothic Frauenkirche cathedral.
  • E. Klaus Fischer
    Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2189c1cc819080dc296b17e42374 completed May 9, 2026, 11:59 a.m.
Created at: April 8, 2026, 9:53 p.m.