Triple

T21302157
Position Surface form Disambiguated ID Type / Status
Subject Heinrich Wagner E525093 entity
Predicate hasNameInNativeLanguage P1435 FINISHED
Object Heinrich Wagner NE NERFINISHED

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: Heinrich Wagner | Statement: [Heinrich Wagner, hasNameInNativeLanguage, Heinrich Wagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinrich Wagner
Context triple: [Heinrich Wagner, hasNameInNativeLanguage, Heinrich Wagner]
  • A. Heinrich Wagner chosen
    Heinrich Wagner was an Austrian linguist and Celtic studies scholar known for his influential research on Celtic languages and dialectology.
  • B. Gustav Wagner
    Gustav Wagner was an Austrian Nazi SS officer notorious for his role as the brutal deputy commandant of the Sobibor extermination camp during the Holocaust.
  • C. Heinrich Leopold Wagner
    Heinrich Leopold Wagner was an 18th-century German dramatist associated with the Sturm und Drang movement, best known for his socially critical and emotionally intense plays.
  • D. Max Wagner
    Max Wagner was an American character actor known for his prolific work in Hollywood films from the 1920s through the 1970s, often appearing in supporting and uncredited roles.
  • E. Max Wagner
    Max Wagner was an automotive engineer best known for his role in developing Mercedes-Benz’s pioneering Grand Prix racing cars of the 1930s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.