Triple

T10305321
Position Surface form Disambiguated ID Type / Status
Subject Karl Peter Ulrich E241736 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 Peter Ulrich, givenName, Karl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl
Context triple: [Karl Peter Ulrich, 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 a ruthless, long-haired German terrorist and Hans Gruber’s vengeful right-hand man in the action film "Die Hard."
  • E. Karl
    Karl is the given name of Karl Popper, the influential 20th-century philosopher of science known for his theory of falsifiability.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d309a4508190ad9de37171a64dba completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74fe436d48190b889ccf5884d1bb7 completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:46 a.m.