Triple

T14624340
Position Surface form Disambiguated ID Type / Status
Subject Approaching Normal E343305 entity
Predicate hasPart P35 FINISHED
Object Blue Skies E583051 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: [Approaching Normal, hasPart, Blue Skies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Skies
Context triple: [Approaching Normal, hasPart, Blue Skies]
  • A. Blue Skies chosen
    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
    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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92a6b9c8190bdb220444cfbe34a completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.