Triple

T523143
Position Surface form Disambiguated ID Type / Status
Subject Graduation E10860 entity
Predicate notableTrack P8087 FINISHED
Object Good Life E65309 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: Good Life | Statement: [Graduation, notableTrack, Good Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Life
Context triple: [Graduation, notableTrack, Good Life]
  • A. Good Life chosen
    "Good Life" is a popular hip-hop song by Kanye West featuring T-Pain from his 2007 album *Graduation*, celebrated for its upbeat production and themes of success and celebration.
  • B. The City of Good Living
    The City of Good Living is a promotional nickname highlighting the comfortable, family-friendly quality of life in San Carlos, California.
  • C. Living for the City
    "Living for the City" is a socially conscious 1973 soul song by Stevie Wonder that powerfully depicts systemic racism and urban struggle through vivid storytelling and innovative production.
  • D. Peak of Good Living
    Peak of Good Living is the promotional nickname highlighting the high quality of life and community appeal of Apex, North Carolina.
  • E. In a Better World
    In a Better World is a 2010 Danish drama film directed by Susanne Bier that explores themes of revenge, forgiveness, and moral responsibility through intertwined stories in Denmark and an African refugee camp.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b4f01881908b408357ff113308 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23f97448190bd85a8c85d338039 completed March 1, 2026, 9:40 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.