Triple

T12278376
Position Surface form Disambiguated ID Type / Status
Subject Legend Award E292650 entity
Predicate notableRecipient P108 FINISHED
Object Cheers E64329 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: Cheers | Statement: [Legend Award, notableRecipient, Cheers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheers
Context triple: [Legend Award, notableRecipient, Cheers]
  • A. Cheers chosen
    Cheers is a beloved American sitcom set in a Boston bar, renowned for its witty ensemble cast, character-driven humor, and significant influence on television comedy.
  • B. Showing Out
    "Showing Out" is a track by hip-hop duo Clipse from their 2009 studio album "Til the Casket Drops."
  • C. Celebrate
    "Celebrate" is a song by the rock band Rebel Soul, known for its energetic style and uplifting, anthemic feel.
  • D. Drink on It
    "Drink on It" is a country song by American singer Blake Shelton, featured on his 2011 album "Red River Blue" and released as a successful single.
  • E. Cheers to the Fall
    "Cheers to the Fall" is the critically acclaimed debut studio album by American singer Andra Day, blending retro-soul, jazz, and R&B to showcase her powerful, emotive vocals.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a959e7c8190a005f20728cb71e0 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.