Triple

T14391565
Position Surface form Disambiguated ID Type / Status
Subject Rebecca of Sunnybrook Farm (1938 film) E356854 entity
Predicate artDirectionBy P7743 FINISHED
Object Hans Peters E518252 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: Hans Peters | Statement: [Rebecca of Sunnybrook Farm (1938 film), artDirectionBy, Hans Peters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Peters
Context triple: [Rebecca of Sunnybrook Farm (1938 film), artDirectionBy, Hans Peters]
  • A. Hans Peters chosen
    Hans Peters was a film art director known for his work on classic mid-20th-century Hollywood productions.
  • B. Hans Frisak
    Hans Frisak was a mountaineer known for being among the first to successfully climb Iceland’s highest peak, Hvannadalshnúkur.
  • C. Hans Schmidt
    Hans Schmidt is a common German personal name shared by numerous individuals across fields such as sports, politics, and the arts.
  • D. Peter Rühmkorf
    Peter Rühmkorf was a prominent German poet, essayist, and editor known for his linguistically inventive, socially critical literature and significant influence on postwar German letters.
  • E. Herbert Hainer
    Herbert Hainer is a German businessman best known as the former long-time CEO of Adidas and current president of FC Bayern Munich.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902b9acc8190817ffa848a76a880 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc2836c8190a61dfd04127fd255 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:16 a.m.