Triple

T23391502
Position Surface form Disambiguated ID Type / Status
Subject The Art of Hustle E594030 entity
Predicate hasProducer P30366 FINISHED
Object K.E. on the Track 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: K.E. on the Track | Statement: [The Art of Hustle, hasProducer, K.E. on the Track]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K.E. on the Track
Context triple: [The Art of Hustle, hasProducer, K.E. on the Track]
  • A. K.E. on the Track chosen
    K.E. on the Track is an American hip-hop record producer known for his distinctive trap-influenced beats and collaborations with various rap artists.
  • B. On the Track
    "On the Track" is a 1975 album by Leon Redbone that introduced his distinctive blend of early jazz, blues, and Tin Pan Alley-style songs.
  • C. Train on a Track
    "Train on a Track" is a song featured on the soundtrack of the 2003 film "The Fighting Temptations," performed by Beyoncé.
  • D. On the Right Track
    On the Right Track is a 1981 family comedy film starring Gary Coleman as a young shoeshine boy who lives in a train station and gains fame for his uncanny ability to predict horse-race winners.
  • E. The Iron Tracks
    The Iron Tracks is a novel by Israeli writer Aharon Appelfeld that follows a Holocaust survivor who obsessively rides Central European trains to confront his traumatic past and seek retribution.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49ca5a0819091b74ca59e7fedd4 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:36 p.m.