Triple

T6088407
Position Surface form Disambiguated ID Type / Status
Subject Welcome 2 Detroit E135694 entity
Predicate followedBy P78 FINISHED
Object Donuts E135693 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: Donuts | Statement: [Welcome 2 Detroit, followedBy, Donuts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donuts
Context triple: [Welcome 2 Detroit, followedBy, Donuts]
  • A. Donuts chosen
    Donuts is a highly influential 2006 instrumental hip-hop album by producer J Dilla, celebrated for its innovative sampling, emotional depth, and lasting impact on beat-making and underground hip-hop.
  • B. Lard Lad Donuts
    Lard Lad Donuts is a fictional donut shop and iconic landmark in The Simpsons’ town of Springfield, known for its giant statue of a boy holding a massive donut.
  • C. Voodoo Doughnut
    Voodoo Doughnut is a quirky, Portland-born doughnut shop chain famous for its creative, over-the-top doughnuts and eclectic atmosphere.
  • D. The Doughnut
    The Doughnut is the distinctive circular headquarters building of the UK's Government Communications Headquarters (GCHQ) intelligence and security organization in Cheltenham.
  • E. Twinkie
    Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057a6f7588190b265d6005fbaf6b3 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d65908c8190a9700c0981dabe9a completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:12 p.m.