Triple

T16873756
Position Surface form Disambiguated ID Type / Status
Subject Albert Benitz E421242 entity
Predicate name P16 FINISHED
Object Albert Benitz NE NERFINISHED

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: Albert Benitz | Statement: [Albert Benitz, name, Albert Benitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Benitz
Context triple: [Albert Benitz, name, Albert Benitz]
  • A. Albert Benitz chosen
    Albert Benitz was a German cinematographer known for his work on numerous films during the early to mid-20th century, including projects associated with Leni Riefenstahl.
  • B. John Daheim
    John Daheim was an American character actor who appeared in numerous film and television productions during the mid-20th century.
  • C. Carl Betz
    Carl Betz was an American actor best known for his television roles in series such as "The Donna Reed Show" and "Judd, for the Defense."
  • D. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • E. Ben Fankhauser
    Ben Fankhauser is an American stage actor and singer best known for originating the role of Davey in the Broadway production of the musical "Newsies."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f40410819088db22fa0d1eb808 completed April 18, 2026, 4:57 p.m.
Created at: April 10, 2026, 5:29 a.m.