Triple

T15143611
Position Surface form Disambiguated ID Type / Status
Subject Finish Line / Drown E361749 entity
Predicate featuredArtist P997 FINISHED
Object T-Pain E65588 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: T-Pain | Statement: [Finish Line / Drown, featuredArtist, T-Pain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T-Pain
Context triple: [Finish Line / Drown, featuredArtist, T-Pain]
  • A. T-Pain chosen
    T-Pain is an American singer, rapper, and producer known for popularizing the creative use of Auto-Tune in mainstream hip-hop and R&B music.
  • B. Lil Wayne
    Lil Wayne is a Grammy-winning American rapper, singer, and songwriter known for his influential role in hip-hop and prolific output since the late 1990s.
  • C. Lil Jon
    Lil Jon is an American rapper, producer, and DJ known for popularizing crunk music and his energetic, shouted catchphrases.
  • D. Tyga
    Tyga is an American rapper and songwriter known for hits like "Rack City" and his association with the Young Money Entertainment label.
  • E. T.I.
    T.I. is an American rapper, actor, and record executive known as a pioneer of trap music and for hits like "Whatever You Like" and "Live Your Life."
  • 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.