Triple

T3275263
Position Surface form Disambiguated ID Type / Status
Subject Shine E68742 entity
Predicate producer P490 FINISHED
Object Swizz Beatz E26223 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: Swizz Beatz | Statement: [Shine, producer, Swizz Beatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swizz Beatz
Context triple: [Shine, producer, Swizz Beatz]
  • A. Swizz Beatz chosen
    Swizz Beatz is an American record producer, rapper, and entrepreneur known for his influential work in hip-hop and collaborations with numerous major artists.
  • B. 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.
  • C. Mike Will Made-It
    Mike Will Made-It is an American record producer and songwriter known for crafting hit singles for artists like Miley Cyrus, Rae Sremmurd, and Kendrick Lamar, as well as for his own collaborative projects.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff8a440819092509bc8511b2785 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e841d5588190a53ba90a46721b0f completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.