Triple

T3371924
Position Surface form Disambiguated ID Type / Status
Subject S4C E70973 entity
Predicate distributionPlatform P1486 FINISHED
Object Sky E245043 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: Sky | Statement: [S4C, distributionPlatform, Sky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky
Context triple: [S4C, distributionPlatform, Sky]
  • A. Sky
    Sky is a charming and supportive young man from the musical and film "Mamma Mia!", known for his relationship with Sophie Sheridan and their plans to build a life together.
  • B. Sky chosen
    Sky is a major British media and telecommunications company best known for its satellite television services and original programming.
  • C. Sky Full of Song
    "Sky Full of Song" is a 2018 indie rock single by English band Florence and the Machine, noted for its ethereal vocals and introspective, emotionally charged lyrics.
  • D. Sky Atlantic
    Sky Atlantic is a British pay television channel known for premiering high-profile US dramas and original series for audiences in the UK and Ireland.
  • E. Black Star
    Black Star is a critically acclaimed hip hop duo consisting of rappers Mos Def (Yasiin Bey) and Talib Kweli, known for their socially conscious lyrics and influential role in underground rap.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bc9bc881908b22edd631a1c110 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343fd8a08190bf426884ec42948c completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.