Triple

T1052552
Position Surface form Disambiguated ID Type / Status
Subject Karl Friedrich Schinkel E22731 entity
Predicate givenName P17 FINISHED
Object Karl E79216 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: Karl | Statement: [Karl Friedrich Schinkel, givenName, Karl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl
Context triple: [Karl Friedrich Schinkel, givenName, Karl]
  • A. Karl
    Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
  • B. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • C. Karl chosen
    Karl is a Germanic given name, cognate with Charles, commonly used in German-speaking and other European countries.
  • D. Karl
    Karl is the given name of Karl Popper, the influential 20th-century philosopher of science known for his theory of falsifiability.
  • E. Karl
    Karl Schwarzschild was a German physicist and astronomer best known for providing the first exact solution to Einstein’s field equations, leading to the concept of the Schwarzschild black hole.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b644088190a1f0f00f97941298 completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad6073d72c819092f6166e989038de completed March 8, 2026, 11:41 a.m.
Created at: March 1, 2026, 7:42 p.m.