Triple

T15434613
Position Surface form Disambiguated ID Type / Status
Subject Yo!88 E369726 entity
Predicate hasContributorRole P45538 FINISHED
Object rapper TM88 E369721 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: rapper TM88 | Statement: [Yo!88, hasContributorRole, rapper TM88]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: rapper TM88
Context triple: [Yo!88, hasContributorRole, rapper TM88]
  • A. TM88 chosen
    TM88 is an American record producer and DJ best known for his work in trap music and collaborations with prominent hip-hop artists.
  • B. Chip tha Ripper
    Chip tha Ripper is an American rapper from Cleveland known for his laid-back delivery, witty lyrics, and frequent collaborations within the Midwest hip-hop scene.
  • C. Royal 88
    Royal 88 is an alternate name for the Oldsmobile 88, a popular full-size American car produced by Oldsmobile from the late 1940s through the 1990s.
  • D. DJ Tambe
    DJ Tambe is an award-winning tattoo artist best known for his multiple championship wins on the reality competition series "Ink Master" and his role as a judge on the show.
  • E. Tony Machine
    Tony Machine is a rock drummer best known for his work with The Jim Carroll Band and his involvement in the 1970s New York punk scene.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a5e55c81909801db54032589ac completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.