Triple

T5236334
Position Surface form Disambiguated ID Type / Status
Subject Johann Tserclaes, Count of Tilly E118230 entity
Predicate givenName P17 FINISHED
Object Johann E27352 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: Johann | Statement: [Johann Tserclaes, Count of Tilly, givenName, Johann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johann
Context triple: [Johann Tserclaes, Count of Tilly, givenName, Johann]
  • A. Johann chosen
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • B. Johannes
    Johannes is the given first name of the German nuclear physicist Hans D. Jensen, a Nobel Prize laureate in Physics.
  • C. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • D. Christoph
    Christoph is the given name of Christoph Willibald Gluck, the influential 18th-century composer known for reforming opera.
  • E. Moritz
    Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2595c88190b4ca0b99c2f31472 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef81cca948190ab00302787367f43 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.