Triple

T12425174
Position Surface form Disambiguated ID Type / Status
Subject Ted Kotcheff E296878 entity
Predicate directed P7373 FINISHED
Object Switching Channels E570376 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: Switching Channels | Statement: [Ted Kotcheff, directed, Switching Channels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Switching Channels
Context triple: [Ted Kotcheff, directed, Switching Channels]
  • A. Switching Channels chosen
    Switching Channels is a 1988 comedy film that updates the classic newspaper-room farce to a modern television news setting, starring Kathleen Turner, Burt Reynolds, and Christopher Reeve.
  • B. Code Switch
    Code Switch is an NPR podcast and journalism project that explores how race, identity, and culture shape American life and politics.
  • C. Channels
    Channels is a Django extension that adds support for handling WebSockets, long-running connections, and background tasks, enabling asynchronous and real-time capabilities in Django applications.
  • D. Switch Control
    Switch Control is an accessibility feature that lets users operate a computer using one or more adaptive switches instead of traditional input devices like a keyboard or mouse.
  • E. CHANNEX
    CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349716fc8190997b54a50d29827a completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.