Triple

T22668432
Position Surface form Disambiguated ID Type / Status
Subject Caspar F. Goodrich E559854 entity
Predicate givenName P17 FINISHED
Object Caspar 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: Caspar | Statement: [Caspar F. Goodrich, givenName, Caspar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caspar
Context triple: [Caspar F. Goodrich, 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. Kaspar
    Kaspar is a 1967 play by Austrian writer Peter Handke that explores language, identity, and social conditioning through the story of a speechless outsider molded by external voices.
  • D. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • E. Kasper
    Kasper is a surname most notably associated with former American football wide receiver Kevin Kasper.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781de1d48190947cb1bb9d0890d9 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:09 p.m.