Triple

T7096006
Position Surface form Disambiguated ID Type / Status
Subject No One Gonna Love You E165327 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: [No One Gonna Love You, producer, Rich Harrison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rich Harrison
Context triple: [No One Gonna Love You, 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. John Whitesell
    John Whitesell is an American television and film director and producer known for his work on various TV series and feature comedies.
  • C. 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?”.
  • D. Leon Black
    Leon Black is an American billionaire investor and co-founder of the private equity firm Apollo Global Management.
  • E. Ron Burkle
    Ron Burkle is an American billionaire investor and co-founder of the private equity firm Yucaipa Companies, known for his extensive investments in retail, sports, and media.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e554d9f081909443be54eb501d25 completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a320ce248190b8aa12f95aa9e008 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:41 p.m.