Triple

T20614244
Position Surface form Disambiguated ID Type / Status
Subject Johann Reuchlin E506522 entity
Predicate hasAlias P455 FINISHED
Object Capnion 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: Capnion | Statement: [Johann Reuchlin, hasAlias, Capnion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capnion
Context triple: [Johann Reuchlin, hasAlias, Capnion]
  • A. Capnion chosen
    Capnion is an alternate name for Johann Reuchlin, a prominent German humanist scholar and early Christian Hebraist of the Renaissance.
  • B. Hetzel
    Hetzel was a prominent 19th-century French publisher best known for publishing major literary works, including those of Victor Hugo and Jules Verne.
  • C. Cannikin
    Cannikin was a 1971 underground U.S. nuclear test on Amchitka Island in Alaska, notable for being one of the largest underground detonations ever conducted by the United States.
  • D. Melter
    Melter is a Marvel Comics supervillain known primarily as an enemy of Iron Man and a recurring member of villainous teams.
  • E. Micronite
    Micronite is a brand of cigarette filter historically associated with Kent cigarettes, known for its controversial use of asbestos in early filter designs.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aada19e481909363428ceda67603 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.