Triple

T14501098
Position Surface form Disambiguated ID Type / Status
Subject Duke Louis Ernest of Brunswick-Lüneburg E359638 entity
Predicate givenName P17 FINISHED
Object Ludwig E58207 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: Ludwig | Statement: [Duke Louis Ernest of Brunswick-Lüneburg, givenName, Ludwig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludwig
Context triple: [Duke Louis Ernest of Brunswick-Lüneburg, givenName, Ludwig]
  • A. Ludwig chosen
    Ludwig is a masculine given name of Germanic origin, historically associated with nobility and rulers and used in various forms across many European languages.
  • B. Ludwig
    Ludwig is a 1973 historical drama film by Italian director Luchino Visconti that portrays the life and tragic decline of Bavaria’s King Ludwig II.
  • C. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • D. Wolfgang
    Wolfgang is a recurring villain and boss character in the Skylanders video game series, known for his werewolf-like appearance and musical, sound-based attacks.
  • E. Wolfgang
    Wolfgang is the given name of Johann Wolfgang von Goethe, the renowned German writer, poet, and statesman.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a254f881908d9494d4602064ae completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:21 a.m.