Triple

T21613429
Position Surface form Disambiguated ID Type / Status
Subject Jobst von Scholten E533368 entity
Predicate hasGivenName P17 FINISHED
Object Jobst NE NERFINISHED

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: Jobst | Statement: [Jobst von Scholten, hasGivenName, Jobst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jobst
Context triple: [Jobst von Scholten, hasGivenName, Jobst]
  • A. Jobst chosen
    Jobst was a 14th–15th century Margrave of Moravia and briefly King of the Romans, known for his role in the complex dynastic politics of the Holy Roman Empire.
  • B. Bootmen
    Bootmen is an Australian dance film that follows a group of steelworkers who form a tap-dancing troupe, showcasing energetic choreography and working-class grit.
  • C. Ryko
    Ryko is a music label imprint associated with the independent record company Rykodisc, known for its diverse catalog of alternative and reissued recordings.
  • D. Ziehm
    Ziehm is a German-language surname associated with individuals such as the politician Ernst Ziehm.
  • E. Bata
    Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba8d7cc8190a59706896a4c073a completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.