Triple

T2392008
Position Surface form Disambiguated ID Type / Status
Subject Grammy Award for Record of the Year E48963 entity
Predicate notableWinner P2766 FINISHED
Object Taylor Swift E43686 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: Taylor Swift | Statement: [Grammy Award for Record of the Year, notableWinner, Taylor Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor Swift
Context triple: [Grammy Award for Record of the Year, notableWinner, Taylor Swift]
  • A. Taylor Swift chosen
    Taylor Swift is an American singer-songwriter known for her narrative songwriting, evolution from country to pop and indie styles, and massive global cultural and commercial impact.
  • B. Ariana Grande
    Ariana Grande is an American pop and R&B singer, songwriter, and actress known for her powerful, Mariah Carey–like vocal range and numerous chart-topping hits.
  • C. Katy Perry
    Katy Perry is an American pop singer and songwriter known for chart-topping hits like "Firework" and "Roar" and her colorful, theatrical performances.
  • D. Taylor
    Taylor is a suburban city in Wayne County, Michigan, known for its residential communities and proximity to Detroit.
  • E. Taylor
    Taylor is a common English surname borne by numerous notable individuals across fields such as politics, arts, sports, and academia.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc87587708190a7f2bc473a898bc2 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3d7b4908190a87dd33316d2d725 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.