Triple

T2220001
Position Surface form Disambiguated ID Type / Status
Subject B'Day E48118 entity
Predicate producer P490 FINISHED
Object Rich Harrison E165326 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: Rich Harrison | Statement: [B'Day, producer, Rich Harrison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rich Harrison
Context triple: [B'Day, producer, Rich Harrison]
  • A. Rich Harrison chosen
    Rich Harrison is an American record producer and songwriter known for crafting soulful, sample-heavy R&B and hip-hop hits for artists like Beyoncé and Amerie.
  • B. Rich Silverstein
    Rich Silverstein is an influential American advertising executive and co-founder of the agency Goodby, Silverstein & Partners, known for iconic campaigns such as “Got Milk?”.
  • C. Leon Black
    Leon Black is an American billionaire investor and co-founder of the private equity firm Apollo Global Management.
  • D. David Tepper
    David Tepper is an American billionaire hedge fund manager and philanthropist, best known as the founder of Appaloosa Management and as a prominent NFL and MLS team owner.
  • E. Mark Davis
    Mark Davis is a computer scientist and software engineer best known for co-founding the Unicode Consortium and helping to design and standardize the Unicode character encoding system.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc01386588190a9507f2969a201ca completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6afc6dd881909dd51d8a18ab4c74 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:46 p.m.