Triple

T21374329
Position Surface form Disambiguated ID Type / Status
Subject Swan Records E527156 entity
Predicate associatedWith P37 FINISHED
Object Dick Clark 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 Clark | Statement: [Swan Records, associatedWith, Dick Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Clark
Context triple: [Swan Records, associatedWith, Dick Clark]
  • A. Dick Clark chosen
    Dick Clark was a prominent American television and radio personality and producer best known for hosting "American Bandstand" and creating major music award shows.
  • B. Mike Douglas
    Mike Douglas was an American singer and television talk show host best known for "The Mike Douglas Show," a popular daytime program that ran from the 1960s through the early 1980s.
  • C. Sam Goody
    Sam Goody is a former American retail chain that specialized in selling music, movies, and related entertainment media.
  • D. Keith Jackson
    Keith Jackson was a legendary American sportscaster best known for his iconic college football play-by-play work and distinctive, folksy broadcasting style.
  • E. Ernie McCracken
    Ernie McCracken is the flamboyantly villainous professional bowler and main antagonist portrayed by Bill Murray in the comedy film "Kingpin."
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0b3666c8190a83bb32eeba24105 completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.