Triple

T14391541
Position Surface form Disambiguated ID Type / Status
Subject Rebecca of Sunnybrook Farm (1938 film) E356854 entity
Predicate screenwriter P2831 FINISHED
Object Karl Tunberg E288330 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 Tunberg | Statement: [Rebecca of Sunnybrook Farm (1938 film), screenwriter, Karl Tunberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Tunberg
Context triple: [Rebecca of Sunnybrook Farm (1938 film), screenwriter, Karl Tunberg]
  • A. Karl Tunberg chosen
    Karl Tunberg was an American screenwriter best known for writing the screenplay of the epic 1959 film "Ben-Hur."
  • B. William Tunberg
    William Tunberg was an American screenwriter best known for adapting the classic 1957 Disney film "Old Yeller."
  • C. Carl Kjeldsberg
    Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
  • D. Karl Engemann
    Karl Engemann is an American music industry executive and talent manager best known for his long association with the Osmond family and other entertainment clients.
  • E. Karl Sodersten
    Karl Sodersten is a film editor known for his work on the Australian psychological thriller "Lantana."
  • 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_69fd5517f5e481908fd65177c34f4282 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.