Triple

T21552646
Position Surface form Disambiguated ID Type / Status
Subject Honey E531802 entity
Predicate songwriterCreditName P32057 FINISHED
Object Sean Combs NE NERFINISHED

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: Sean Combs | Statement: [Honey, songwriterCreditName, Sean Combs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Combs
Context triple: [Honey, songwriterCreditName, Sean Combs]
  • A. P. Diddy chosen
    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.
  • B. Keith Sweat
    Keith Sweat is an American R&B singer, songwriter, and producer known as a pioneer of the New Jack Swing era with hits like "I Want Her" and "Twisted."
  • C. 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.
  • D. Anthony "Treach" Criss
    Anthony "Treach" Criss is an American rapper and actor best known as the lead MC of the hip hop group Naughty by Nature and for his roles in various films and television shows.
  • E. Mr. B.I.G.
    Mr. B.I.G. is the nickname of American filmmaker Bert I. Gordon, best known for his low-budget 1950s and 1960s science fiction and giant monster movies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb59375f481909d9e2b66d18c7c32 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:29 p.m.