Triple

T11678633
Position Surface form Disambiguated ID Type / Status
Subject Portrait of Jennie E277556 entity
Predicate editedBy P1954 FINISHED
Object Felix E. Feist E449246 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: Felix E. Feist | Statement: [Portrait of Jennie, editedBy, Felix E. Feist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felix E. Feist
Context triple: [Portrait of Jennie, editedBy, Felix E. Feist]
  • A. Felix E. Feist chosen
    Felix E. Feist was an American film and television director and screenwriter known for his work in mid-20th-century crime dramas and film noir.
  • B. Fred F. Finklehoffe
    Fred F. Finklehoffe was an American screenwriter and producer best known for his work on classic Hollywood films and collaborations with major studios during the 1940s.
  • C. Walter Wolfrum
    Walter Wolfrum was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • D. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • E. Fredric Steinkamp
    Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a46000a48190888ad1a6ade052e3 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6554ec69c8190ba9ffbaf220c44f4 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:40 p.m.