Triple

T1545533
Position Surface form Disambiguated ID Type / Status
Subject Frasier E32967 entity
Predicate spinOffFrom P7226 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: [Frasier, spinOffFrom, Cheers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheers
Context triple: [Frasier, spinOffFrom, 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. Smilin'
    "Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
  • C. Sparks
    Sparks is a city in northern Nevada known for its proximity to Reno and its role as a regional hub for industry, transportation, and outdoor recreation.
  • D. Hold My Liquor
    "Hold My Liquor" is a moody, atmospheric hip-hop track by Kanye West featuring introspective lyrics and experimental production.
  • E. O-Town
    O-Town is an American boy band formed on the reality TV series "Making the Band," known for early-2000s pop hits like "Liquid Dreams" and "All or Nothing."
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61fc0b5c8190bad34c17c3b46c7e completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad37092b648190a339114ffc37d1db completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.