Triple

T18995059
Position Surface form Disambiguated ID Type / Status
Subject Water for Your Soul E464787 entity
Predicate producer P490 FINISHED
Object Conner Reeves 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: Conner Reeves | Statement: [Water for Your Soul, producer, Conner Reeves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conner Reeves
Context triple: [Water for Your Soul, producer, Conner Reeves]
  • A. Conner Reeves chosen
    Conner Reeves is a British singer-songwriter known for his soulful vocals and contributions to pop and R&B music in the late 1990s and beyond.
  • B. Bryant Reeves
    Bryant Reeves is a former American basketball center best known for starring at Oklahoma State University in the early 1990s before becoming an original member of the NBA’s Vancouver Grizzlies.
  • C. Jason Reeves
    Jason Reeves is an American singer-songwriter known for his acoustic pop style and frequent collaborations with artists like Colbie Caillat.
  • D. Shane Patton
    Shane Patton is a fictional character portrayed by Jake Lacy, best known as a supporting role in the 2014 war film "The White Lotus" (if incorrect, please disregard).
  • E. Kyle Macy
    Kyle Macy is a former American college basketball star and NBA guard best known for his standout career at the University of Kentucky in the late 1970s.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d680dd2881908a72e732c6b25477 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.