Triple

T10861175
Position Surface form Disambiguated ID Type / Status
Subject Joan Caulfield E256406 entity
Predicate notableWork P4 FINISHED
Object Blue Skies E43632 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: Blue Skies | Statement: [Joan Caulfield, notableWork, Blue Skies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Skies
Context triple: [Joan Caulfield, notableWork, Blue Skies]
  • A. Blue Skies
    Blue Skies is the debut studio album by American singer and American Idol alumna Diana DeGarmo, showcasing her pop and country-influenced sound.
  • B. Blue Skies chosen
    Blue Skies is a 1946 American musical film starring Fred Astaire and Bing Crosby, featuring Irving Berlin songs and celebrated for Astaire’s innovative dance sequences.
  • C. Blue Skies
    "Blue Skies" is an indie folk song by British band Noah and the Whale, known for its melancholic lyrics and uplifting, anthemic sound.
  • D. Blue Sky
    "Blue Sky" is a melodic, country-influenced rock song by the Allman Brothers Band, celebrated for its dual guitar harmonies and uplifting, improvisational feel.
  • E. Blue Sky
    Blue Sky is a 1994 drama film starring Jessica Lange as the troubled wife of a U.S. Army officer, a role that earned her an Academy Award for Best Actress.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.