Triple

T4623317
Position Surface form Disambiguated ID Type / Status
Subject Fedora E101036 entity
Predicate editedBy P1954 FINISHED
Object Fredric Steinkamp E384470 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: Fredric Steinkamp | Statement: [Fedora, editedBy, Fredric Steinkamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredric Steinkamp
Context triple: [Fedora, editedBy, Fredric Steinkamp]
  • A. Fredric Steinkamp chosen
    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."
  • B. William Steinkamp
    William Steinkamp is an American film editor known for his long-time collaboration with director Sydney Pollack and his work on several acclaimed Hollywood films.
  • C. Ed Heinemann
    Ed Heinemann was a renowned American aeronautical engineer best known for designing innovative and influential military aircraft for Douglas Aircraft Company during the mid-20th century.
  • D. Eric Schoffstall
    Eric Schoffstall is a software developer best known for creating Gulp, a popular JavaScript-based task runner used in web development build workflows.
  • E. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a053d38819097b3ecbc06aa6e4d completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9ad2f8e48190aac71e657a9e1197 completed March 22, 2026, 7:31 a.m.
Created at: March 20, 2026, 1:12 p.m.