Triple

T15949157
Position Surface form Disambiguated ID Type / Status
Subject Kanye West – GOOD Fridays series E386768 entity
Predicate hasPart P35 FINISHED
Object Take One for the Team E828401 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: Take One for the Team | Statement: [Kanye West – GOOD Fridays series, hasPart, Take One for the Team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Take One for the Team
Context triple: [Kanye West – GOOD Fridays series, hasPart, Take One for the Team]
  • A. Take One for the Team chosen
    "Take One for the Team" is a song released as part of Kanye West's GOOD Fridays music series.
  • B. Taking One for the Team
    Taking One for the Team is a studio album by Canadian pop-punk band Simple Plan, known for its energetic, catchy songs and themes of youth and relationships.
  • C. The First Team
    The First Team is a novel by British crime writer John Ball, best known for creating the character Virgil Tibbs in "In the Heat of the Night."
  • D. The B Team
    The B Team is a global nonprofit initiative that brings together business and civil society leaders to promote responsible, sustainable, and inclusive business practices worldwide.
  • E. All for One
    "All for One" is a song featured on the album "The Boss."
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c207588190a3d17e5f09d12997 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.