Triple

T8426431
Position Surface form Disambiguated ID Type / Status
Subject Dillon Francis E199004 entity
Predicate notableWork P4 FINISHED
Object Get Low E501195 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: Get Low | Statement: [Dillon Francis, notableWork, Get Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get Low
Context triple: [Dillon Francis, notableWork, Get Low]
  • A. Get Low chosen
    "Get Low" is a 2002 crunk anthem by Lil Jon & the East Side Boyz featuring the Ying Yang Twins that became a major club hit and a defining track of early-2000s Southern hip hop.
  • B. How Low
    "How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
  • C. So Low
    "So Low" is a song by American rapper Talib Kweli from his album *Gutter Rainbows*, showcasing his socially conscious lyricism over soulful, boom-bap-influenced production.
  • D. Lay Low
    "Lay Low" is a popular West Coast hip hop track by Snoop Dogg featuring Nate Dogg, Master P, and others, known for its smooth G-funk production and laid-back gangsta rap vibe.
  • E. How High
    How High is a 2001 stoner comedy film starring Method Man and Redman as underachieving friends who use a supernatural strain of marijuana to succeed at Harvard University.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a37e388190b2a7ab8e6966baac completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0364f294819091ef9f39429f3fb5 completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.