Triple

T10137028
Position Surface form Disambiguated ID Type / Status
Subject Friedrich von Gentz E226885 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 von Gentz, givenName, Friedrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrich
Context triple: [Friedrich von Gentz, 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde881a2188190a5e519b90a1b910b completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3174109988190b703bb5b7c89c5c2 completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 9:06 p.m.