Triple

T9905111
Position Surface form Disambiguated ID Type / Status
Subject Numbers on the Boards E184987 entity
Predicate musicVideoDirector P4911 FINISHED
Object So Me E541280 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: So Me | Statement: [Numbers on the Boards, musicVideoDirector, So Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: So Me
Context triple: [Numbers on the Boards, musicVideoDirector, So Me]
  • A. So Me chosen
    So Me is a French graphic designer, illustrator, and music video director known for his work with the Ed Banger Records label and artists like Justice and Kanye West.
  • B. Just Me
    Just Me is an R&B album by American singer Keith Sweat, known for its smooth slow jams and a return to his classic romantic style.
  • C. On Me
    "On Me" is a popular hip-hop single by American rapper Lil Baby, known for its melodic flow and chart success.
  • D. Me, Myself & I
    "Me, Myself & I" is a 2015 hip hop and pop single by G-Eazy featuring Bebe Rexha that became a major international hit known for its introspective lyrics about fame and independence.
  • E. Me, Myself & I
    Me, Myself & I is an American sitcom that follows one man's life across three distinct time periods, exploring how his experiences shape him from adolescence to old age.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb4e641e881909dfba78fcb96c433 completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb2c1d5c8190b6f1c43254487893 completed April 5, 2026, 4:55 a.m.
Created at: March 30, 2026, 8:40 p.m.