Triple

T2220119
Position Surface form Disambiguated ID Type / Status
Subject Drunk in Love E48120 entity
Predicate writer P1360 FINISHED
Object Shawn Carter E23781 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: Shawn Carter | Statement: [Drunk in Love, writer, Shawn Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawn Carter
Context triple: [Drunk in Love, writer, Shawn Carter]
  • A. Jay-Z chosen
    Jay-Z is a pioneering American rapper, producer, and business mogul known for his influential role in hip-hop and ventures spanning music, fashion, and sports management.
  • B. Nas
    Nas is an influential American rapper and songwriter renowned for his complex lyricism and classic debut album "Illmatic," widely regarded as one of the greatest hip-hop records of all time.
  • C. P. Diddy
    P. Diddy, also known as Sean "Diddy" Combs, is an American rapper, producer, and entrepreneur who rose to prominence in the 1990s as a key figure in hip-hop and the founder of Bad Boy Records.
  • D. Ja Rule
    Ja Rule is an American rapper, singer, and actor known for his early-2000s hit collaborations and distinctive melodic rap style.
  • E. LL Cool J
    LL Cool J is an American rapper and actor who emerged as one of hip-hop’s early stars and later became widely known for his roles in film and television.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc01386588190a9507f2969a201ca completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f74880481908ffd16a25792f013 completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:46 p.m.