Triple

T13751655
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz W194 E330365 entity
Predicate driver P268 FINISHED
Object Karl Kling E1181973 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 Kling | Statement: [Mercedes-Benz W194, driver, Karl Kling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Kling
Context triple: [Mercedes-Benz W194, driver, Karl Kling]
  • A. Karl Kling chosen
    Karl Kling was a German racing driver of the 1950s who competed for the Mercedes-Benz works team in Grand Prix and sports car events.
  • B. Karl Eberding
    Karl Eberding was a German military commander during World War II, known for leading German forces in the defense of Walcheren in 1944.
  • C. Karl Krueger
    Karl Krueger was an American conductor known for his work with major orchestras and for making early high-fidelity orchestral recordings.
  • D. Karl Schaefer
    Karl Schaefer is a television writer and producer best known for co-creating the zombie apocalypse series Z Nation and its Netflix prequel Black Summer.
  • E. Karl Weiss
    Karl Weiss is a relatively obscure individual whose name is shared with several minor historical and contemporary figures, making it difficult to attribute a single widely recognized identity to him.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0215cfa08190aaed8b089aff217b completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004568c93c81908450887f72de8466 completed May 10, 2026, 8:44 a.m.
Created at: April 9, 2026, 10:09 p.m.