Triple

T12504563
Position Surface form Disambiguated ID Type / Status
Subject Caspar Olevianus E298915 entity
Predicate givenName P17 FINISHED
Object Caspar E157035 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: Caspar | Statement: [Caspar Olevianus, givenName, Caspar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caspar
Context triple: [Caspar Olevianus, givenName, Caspar]
  • A. Caspar chosen
    Caspar is one of the Three Wise Men in Christian tradition, often depicted as a king who visited the infant Jesus bearing gifts.
  • B. Caspar Hedio
    Caspar Hedio was a 16th-century German Protestant reformer and theologian known for his involvement in early Reformation debates and efforts to mediate between differing evangelical factions.
  • C. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • D. Kasper
    Kasper is a surname most notably associated with former American football wide receiver Kevin Kasper.
  • E. Kornelius
    Kornelius is a masculine given name, commonly used in various European languages as a form of Cornelius.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb5af708190b3786da334c3bf23 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.