Triple

T22172298
Position Surface form Disambiguated ID Type / Status
Subject The Window E547952 entity
Predicate director P255 FINISHED
Object Ted Tetzlaff 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: Ted Tetzlaff | Statement: [The Window, director, Ted Tetzlaff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Tetzlaff
Context triple: [The Window, director, Ted Tetzlaff]
  • A. Ted Tetzlaff chosen
    Ted Tetzlaff was an American cinematographer and film director best known for his stylish black-and-white photography on classic Hollywood films of the 1930s and 1940s.
  • B. Neal Tiemann
    Neal Tiemann is an American guitarist best known for his work in metal and hard rock bands, including his role in DevilDriver.
  • C. Eric Tull
    Eric Tull is the central character in the 2013 drama film "A Teacher," which follows his illicit relationship with a high school teacher and its emotional consequences.
  • D. Andy Pforsich
    Andy Pforsich is a voice actor known for his work in the Peanuts animated film "A Boy Named Charlie Brown."
  • E. Geoff Peterson
    Geoff Peterson is the skeletal robot sidekick and comedic foil featured on The Late Late Show with Craig Ferguson.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a69c12c8190a03177b5b740456a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.