Triple

T22768076
Position Surface form Disambiguated ID Type / Status
Subject Auto Focus E563179 entity
Predicate title P38 FINISHED
Object Auto Focus 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: Auto Focus | Statement: [Auto Focus, title, Auto Focus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auto Focus
Context triple: [Auto Focus, title, Auto Focus]
  • A. Auto Focus chosen
    Auto Focus is a 2002 biographical drama film directed by Paul Schrader that chronicles the troubled life and career of Hogan’s Heroes star Bob Crane.
  • B. Focus Assist
    Focus Assist is a Windows 10 feature that helps users minimize distractions by automatically suppressing notifications during selected times or activities.
  • C. Depth of Field
    Depth of Field is a film and television production company co-founded by actor Tobey Maguire, known for producing a range of independent and studio-backed projects.
  • D. Universal Focus
    Universal Focus was a film production and distribution company that served as the specialty or art-house division of Universal Pictures before being succeeded by Focus Features.
  • E. Virtual Focus
    Virtual Focus is an experimental electronic music work by avant-garde composer and pianist David Tudor.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a81d3348190b005a43a5e03d406 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.