Triple

T21928498
Position Surface form Disambiguated ID Type / Status
Subject So Damn Happy E541503 entity
Predicate producer P490 FINISHED
Object Dick Connette 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: Dick Connette | Statement: [So Damn Happy, producer, Dick Connette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Connette
Context triple: [So Damn Happy, producer, Dick Connette]
  • A. Dick Connette chosen
    Dick Connette is an American music producer and composer known for his work in folk and experimental music, including producing the album "Last Man on Earth."
  • B. Ed Konetchy
    Ed Konetchy was an early 20th-century Major League Baseball first baseman known for his strong defensive play and consistent hitting, who also starred in the short-lived Federal League.
  • C. Hank Cicalo
    Hank Cicalo is a recording engineer best known for his work on influential rock and pop albums, including projects with artists like Carole King and The Monkees.
  • D. Val Cluozza
    Val Cluozza is a remote, rugged alpine valley located within the Swiss National Park, known for its pristine wilderness and diverse mountain landscapes.
  • E. Herb Deromedi
    Herb Deromedi is a former American college football coach best known for his long and successful tenure as head coach at Central Michigan University.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fcd08481909fecbb2cf0405933 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:46 p.m.