Triple

T23375577
Position Surface form Disambiguated ID Type / Status
Subject Stranded E593596 entity
Predicate followedBy P78 FINISHED
Object Country Life 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: Country Life | Statement: [Stranded, followedBy, Country Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Country Life
Context triple: [Stranded, followedBy, Country Life]
  • A. Country Life chosen
    Country Life is a long-running British weekly magazine renowned for its coverage of rural life, country houses, architecture, and gardening.
  • B. Country Life
    Country Life is a 1994 Australian drama film, adapted from Chekhov’s "Uncle Vanya," that relocates the story to rural Australia in the aftermath of World War I.
  • C. Country Living
    Country Living is the official motto of Walnut, California, reflecting the city's suburban, small-town atmosphere and emphasis on a peaceful residential lifestyle.
  • D. Countryside
    "Countryside" is a song featured on the album *Jamz*, likely characterized by themes or sounds evocative of rural life.
  • E. Country Home
    "Country Home" is a Neil Young song known for its raw, guitar-driven rock sound and nostalgic, rural-themed lyrics.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b2fe9081909cc002abe50dad2a completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:33 p.m.