Triple

T6463296
Position Surface form Disambiguated ID Type / Status
Subject Grand Champ E142172 entity
Predicate executiveProducer P7225 FINISHED
Object Waah Dean E587642 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: Waah Dean | Statement: [Grand Champ, executiveProducer, Waah Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waah Dean
Context triple: [Grand Champ, executiveProducer, Waah Dean]
  • A. Waah Dean chosen
    Waah Dean is a hip-hop music producer best known for his work on DMX’s influential debut album "It’s Dark and Hell Is Hot."
  • B. Keenan Wynn
    Keenan Wynn was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often playing gruff, comedic, or villainous supporting roles.
  • C. Mark DeBarge
    Mark DeBarge is an American R&B singer and musician best known as a member of the family group DeBarge, popular in the 1980s.
  • D. Rico Wade
    Rico Wade was an influential Atlanta-based hip-hop producer and member of the production trio Organized Noize, best known for shaping the sound of acts like Outkast and Goodie Mob.
  • E. Jeffrey Dean
    Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f9b58081909412b9da753b9285 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be4e6888190a685f447e9950163 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:49 p.m.