Triple

T14081899
Position Surface form Disambiguated ID Type / Status
Subject Sky Sailing E338887 entity
Predicate hasPart P35 FINISHED
Object song "Blue and Grey"
"Blue and Grey" is a gentle, introspective acoustic song known for its wistful lyrics and melodic folk-pop style.
 E1078402 NE FINISHED

How this triple was built (4 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: song "Blue and Grey" | Statement: [Sky Sailing, hasPart, song "Blue and Grey"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: song "Blue and Grey"
Context triple: [Sky Sailing, hasPart, song "Blue and Grey"]
  • A. The Sky Blue Song
    The Sky Blue Song is the traditional anthem sung by supporters of Coventry City Football Club, celebrating the team’s identity and colors.
  • B. "Blue"
    Blue is the artist nickname used by the creator known as Dreamer.
  • C. Blue on Blue
    "Blue on Blue" is a 1963 pop ballad by American singer Bobby Vinton that became one of his signature hits.
  • D. song "Chelsea Morning"
    "Chelsea Morning" is a folk song written by Joni Mitchell that became widely known through Judy Collins’s popular 1969 recording.
  • E. song "The Siren’s Song"
    "The Siren’s Song" is a musical number from the early 20th-century Jerome Kern–Guy Bolton–P. G. Wodehouse college musical comedy *Leave It to Jane*.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: song "Blue and Grey"
Triple: [Sky Sailing, hasPart, song "Blue and Grey"]
Generated description
"Blue and Grey" is a gentle, introspective acoustic song known for its wistful lyrics and melodic folk-pop style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: song "Blue and Grey"
Target entity description: "Blue and Grey" is a gentle, introspective acoustic song known for its wistful lyrics and melodic folk-pop style.
  • A. The Sky Blue Song
    The Sky Blue Song is the traditional anthem sung by supporters of Coventry City Football Club, celebrating the team’s identity and colors.
  • B. "Blue"
    Blue is the artist nickname used by the creator known as Dreamer.
  • C. Blue on Blue
    "Blue on Blue" is a 1963 pop ballad by American singer Bobby Vinton that became one of his signature hits.
  • D. song "Chelsea Morning"
    "Chelsea Morning" is a folk song written by Joni Mitchell that became widely known through Judy Collins’s popular 1969 recording.
  • E. song "The Siren’s Song"
    "The Siren’s Song" is a musical number from the early 20th-century Jerome Kern–Guy Bolton–P. G. Wodehouse college musical comedy *Leave It to Jane*.
  • F. None of above. chosen

Provenance (5 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6749c3c81909833a0b6ddcae3fb completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc44b8f3c8190a7dc5a98239be1a5 completed May 7, 2026, 4:56 p.m.
NED2 Entity disambiguation (via description) batch_69fcc4d99f608190a6dddfda19bf0685 completed May 7, 2026, 4:59 p.m.
Created at: April 9, 2026, 10:21 p.m.