Triple

T18220652
Position Surface form Disambiguated ID Type / Status
Subject Jane Christie E436292 entity
Predicate appearsInSeason P795 FINISHED
Object Coupling series 1 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: Coupling series 1 | Statement: [Jane Christie, appearsInSeason, Coupling series 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coupling series 1
Context triple: [Jane Christie, appearsInSeason, Coupling series 1]
  • A. Coupling chosen
    Coupling is a British television sitcom created and written by Steven Moffat that follows the intertwined romantic and social lives of six friends, often compared to Friends for its ensemble cast and relationship-focused comedy.
  • B. Perfect Couples
    Perfect Couples is an American television sitcom that follows the romantic misadventures of three very different couples navigating modern relationships.
  • C. Bound Together
    "Bound Together" is a work by British author Hugh Conway, best known for his popular late-19th-century mystery and sensation fiction.
  • D. Partners
    Partners is a short-lived American sitcom starring Kelsey Grammer that aired in the 2010s.
  • E. COU
    COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47b5bfc819085c5935c08361ba9 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.