Triple

T10621963
Position Surface form Disambiguated ID Type / Status
Subject Friday Night Lights E250222 entity
Predicate producer P490 FINISHED
Object Kane Beatz E598768 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: Kane Beatz | Statement: [Friday Night Lights, producer, Kane Beatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kane Beatz
Context triple: [Friday Night Lights, producer, Kane Beatz]
  • A. Kane Beatz chosen
    Kane Beatz is an American record producer known for crafting hit hip-hop and rap tracks for major artists such as Lil Wayne, Nicki Minaj, and Trey Songz.
  • B. Swizz Beatz
    Swizz Beatz is an American record producer, rapper, and entrepreneur known for his influential work in hip-hop and collaborations with numerous major artists.
  • C. Murda Beatz
    Murda Beatz is a Canadian record producer and songwriter known for crafting trap and hip-hop hits for major artists like Migos, Drake, and Travis Scott.
  • D. Legendury Beatz
    Legendury Beatz is a Nigerian record production duo known for crafting hit Afrobeats tracks for top artists such as Wizkid.
  • E. Hit-Boy
    Hit-Boy is an American record producer and rapper known for crafting influential hip-hop and R&B hits for artists like Kanye West, Jay-Z, and Beyoncé.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7e5074819096668b53dcc9167a completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a356e548190ab7a4a2c7111ba89 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 8:50 p.m.