Triple

T23308208
Position Surface form Disambiguated ID Type / Status
Subject John Louis I, Prince of Anhalt-Dornburg E590507 entity
Predicate aristocraticTitle P914 FINISHED
Object Fürst 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: Fürst | Statement: [John Louis I, Prince of Anhalt-Dornburg, aristocraticTitle, Fürst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fürst
Context triple: [John Louis I, Prince of Anhalt-Dornburg, aristocraticTitle, Fürst]
  • A. Fürst chosen
    Fürst is a German noble title historically ranking below a duke and above a count, often translated as "prince" in English.
  • B. Grand Prince
    Grand Prince was the medieval title held by the supreme ruler of the early Hungarian state before it became a Christian kingdom.
  • C. Prinz
    Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
  • D. Prinze
    Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
  • E. Kœnig
    Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197292fd08190bc364e1433dde213 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.