Triple

T3784292
Position Surface form Disambiguated ID Type / Status
Subject Murdoch family E85490 entity
Predicate mediaBrand P1500 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: [Murdoch family, mediaBrand, Sky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky
Context triple: [Murdoch family, mediaBrand, Sky]
  • A. Sky chosen
    Sky is a major British media and telecommunications company best known for its satellite television services and original programming.
  • B. 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.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76570b481909c26d47a3251b180 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5282f253c81908c18a30bb1025f99 completed March 14, 2026, 9:19 a.m.
Created at: March 9, 2026, 3:13 p.m.