Triple

T11011488
Position Surface form Disambiguated ID Type / Status
Subject John Neville E260257 entity
Predicate portrayed P1668 FINISHED
Object Baron Munchausen E222624 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: Baron Munchausen | Statement: [John Neville, portrayed, Baron Munchausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baron Munchausen
Context triple: [John Neville, portrayed, Baron Munchausen]
  • A. Baron Münchhausen chosen
    Baron Münchhausen is a legendary German nobleman and storyteller famed for his wildly exaggerated, humorous tales of adventure and impossible feats.
  • B. The Adventures of Baron Munchausen
    The Adventures of Baron Munchausen is a 1988 fantasy adventure film that blends surreal visuals, dark humor, and imaginative storytelling to depict the exaggerated exploits of the legendary Baron.
  • C. Hamelin de Balun
    Hamelin de Balun was an 11th-century Norman lord and marcher baron active in the Welsh borderlands.
  • D. Mr. Boncassen
    Mr. Boncassen is a scholarly American gentleman in Anthony Trollope’s Palliser novels, known as the learned and socially unpretentious father of Isabel Boncassen.
  • E. Francis the Talking Mule
    Francis the Talking Mule is a comedic, wisecracking military mule character from a popular 1950s film series, known for speaking only to a befuddled soldier and getting him into and out of trouble.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797899a388190aa8fe813eac4dba7 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374ac78348190a8c0a5a7a736b24b completed April 18, 2026, 12:10 p.m.
Created at: April 8, 2026, 9:25 p.m.