Triple

T20060358
Position Surface form Disambiguated ID Type / Status
Subject Ludacris E499453 entity
Predicate notableSong P4 FINISHED
Object How Low 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: How Low | Statement: [Ludacris, notableSong, How Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: How Low
Context triple: [Ludacris, notableSong, How Low]
  • A. How Low chosen
    "How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
  • B. Get Low
    "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.
  • C. Get Low
    Get Low is a 2009 independent drama film set in the 1930s American South, following a reclusive hermit who plans his own funeral party while still alive.
  • D. Down So Low
    "Down So Low" is a soulful ballad best known from Linda Ronstadt’s 1976 album *Hasten Down the Wind*, originally written and recorded by singer-songwriter Tracy Nelson.
  • E. 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.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.