Triple

T16498892
Position Surface form Disambiguated ID Type / Status
Subject Blur E400752 entity
Predicate notableSong P4 FINISHED
Object Coffee & TV E1158032 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: Coffee & TV | Statement: [Blur, notableSong, Coffee & TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coffee & TV
Context triple: [Blur, notableSong, Coffee & TV]
  • A. Coffee & TV chosen
    "Coffee & TV" is a Britpop/alternative rock song by Blur, best known for its melodic guitar work by Graham Coxon and its iconic music video featuring a walking milk carton.
  • B. Coffee Time
    Coffee Time is a song featured in the "Coffee Time" sequence, likely themed around the rituals or atmosphere of drinking coffee.
  • C. Koffee
    Koffee is a Jamaican reggae and dancehall singer, songwriter, and rapper known for her Grammy-winning EP "Rapture" and hit single "Toast."
  • D. Coffee and Cigarettes
    Coffee and Cigarettes is an independent anthology film by Jim Jarmusch composed of a series of black-and-white vignettes in which various actors and musicians converse over coffee and cigarettes.
  • E. Mr. Coffee and Mr. Fixit
    "Mr. Coffee and Mr. Fixit" is a short story by Raymond Carver that explores themes of marital strain, communication breakdown, and emotional distance in everyday domestic life.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e35b96881908c9d339eea9e4314 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582c6188819083eb1c1a87ce75a3 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:14 a.m.