Triple

T3104890
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Schiller E64808 entity
Predicate givenName P17 FINISHED
Object Friedrich E66781 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: Friedrich | Statement: [Friedrich Schiller, givenName, Friedrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrich
Context triple: [Friedrich Schiller, givenName, Friedrich]
  • A. Friedrich
    Friedrich is the given first name of the German philosopher, logician, and mathematician Gottlob Frege.
  • B. Friedrich chosen
    Friedrich is a German masculine given name of Old High German origin, commonly borne by historical figures and nobility.
  • C. Friedrich
    Friedrich is a German soldier in Michael Morpurgo’s novel "War Horse," known for his compassionate treatment of horses amid the brutality of World War I.
  • D. Friedrich
    Friedrich is the given first name of the renowned German mathematician Bernhard Riemann.
  • E. Friedrich
    Friedrich is the given name of Friedrich Engels, the 19th-century German philosopher, social scientist, and co-author of key works on communism alongside Karl Marx.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29a90e88190afb8a10291ef1946 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f5994088190abc4b56040922c16 completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:03 p.m.