Triple

T22127358
Position Surface form Disambiguated ID Type / Status
Subject Thank You Camellia E546822 entity
Predicate producer P490 FINISHED
Object Adam Messinger 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: Adam Messinger | Statement: [Thank You Camellia, producer, Adam Messinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Messinger
Context triple: [Thank You Camellia, producer, Adam Messinger]
  • A. Adam Messinger chosen
    Adam Messinger is a Canadian songwriter and producer best known as one half of the production duo The Messengers, who have worked with major pop and R&B artists.
  • B. Nathaniel Messinger
    Nathaniel Messinger is a character in the film "City of Angels," an angel who interacts with Maggie Rice as she grapples with life, death, and love.
  • C. Danny Messer
    Danny Messer is a fictional New York City crime scene investigator and former street kid known for his passionate, sometimes hot-headed personality on the television series CSI: NY.
  • D. Ronnie Messing
    Ronnie Messing is a main flight attendant character on the sitcom "LA to Vegas," known for her sharp wit and complicated love life.
  • E. Anthony Seigler
    Anthony Seigler is an American professional baseball catcher who was a first-round draft pick of the New York Yankees.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12982eaa08190933d3036c020f562 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.