Triple

T15142604
Position Surface form Disambiguated ID Type / Status
Subject Action Bronson E361722 entity
Predicate hasCollaborationWith P398 FINISHED
Object Meyhem Lauren E1088624 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: Meyhem Lauren | Statement: [Action Bronson, hasCollaborationWith, Meyhem Lauren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meyhem Lauren
Context triple: [Action Bronson, hasCollaborationWith, Meyhem Lauren]
  • A. Meyhem Lauren chosen
    Meyhem Lauren is a New York City rapper known for his gritty, streetwise lyrics and collaborations with artists like Action Bronson and producer DJ Muggs.
  • B. Lauren Lloyd
    Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
  • C. Lauren Marcus
    Lauren Marcus is an American actress and singer known for her work in musical theatre and film, including a role in the 2021 movie adaptation of "Tick, Tick... Boom!".
  • D. Lauren Barnes
    Lauren Barnes is an American professional soccer defender best known for her standout career with OL Reign in the National Women's Soccer League.
  • E. Lauren Lane
    Lauren Lane is an American television and stage actress best known for playing the sophisticated and sarcastic C.C. Babcock on the 1990s sitcom "The Nanny."
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c5c4248190b57234e3ccf2831b completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfee0ae48190a36523d3eeae9740 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.