Triple

T15164404
Position Surface form Disambiguated ID Type / Status
Subject Brighten the Corners E362297 entity
Predicate follows P134 FINISHED
Object Wowee Zowee E362296 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: Wowee Zowee | Statement: [Brighten the Corners, follows, Wowee Zowee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wowee Zowee
Context triple: [Brighten the Corners, follows, Wowee Zowee]
  • A. Wowee Zowee chosen
    Wowee Zowee is a 1995 indie rock album by Pavement known for its eclectic, experimental style and sprawling, genre-blending tracklist.
  • B. Woo Hoo
    "Woo Hoo" is a track featured on the album *Crime Pays*, likely contributing an energetic or standout moment within the record.
  • C. Bow Chicka Wow Wow
    "Bow Chicka Wow Wow" is a pop-R&B single by American singer Mike Posner, known for its flirtatious lyrics and smooth, radio-friendly production.
  • D. Boom Boom Pow
    "Boom Boom Pow" is a 2009 electro-pop and hip-hop single by the Black Eyed Peas that became a global hit and topped the Billboard Hot 100 for multiple weeks.
  • E. Yizo Yizo
    Yizo Yizo is a South African television drama series known for its gritty, realistic portrayal of life in a township high school and its exploration of youth, crime, and social issues.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064b21ac81908b793bdbd741bcd8 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec885d68c8190999529b69bc34fec completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.