Triple

T23517847
Position Surface form Disambiguated ID Type / Status
Subject Talkback E574416 entity
Predicate notableProduction P4 FINISHED
Object Green Wing 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: Green Wing | Statement: [Talkback, notableProduction, Green Wing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Wing
Context triple: [Talkback, notableProduction, Green Wing]
  • A. Green Wing chosen
    Green Wing is a British surreal comedy television series set in a hospital, known for its ensemble cast, fast-paced editing, and offbeat, character-driven humor.
  • B. The Partridge
    The Partridge is a medieval manuscript text, likely a fable or moral tale, preserved within the codex catalogued as MS 3501.
  • C. Last Tango in Halifax
    Last Tango in Halifax is a British television drama series that follows the rekindled romance of two widowed childhood sweethearts and the impact on their families.
  • D. On the Wing
    "On the Wing" is a dreamy, atmospheric electronic track by Owl City known for its whimsical lyrics and uplifting, synth-driven sound.
  • E. The Chaser
    The Chaser is a 2008 South Korean crime thriller film about a disgraced ex-detective turned pimp who races against time to track down a serial killer, noted for its intense pacing and gritty realism.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa83c538819096bc548e3e0ddbd0 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.