Triple

T5093645
Position Surface form Disambiguated ID Type / Status
Subject Winner's Circle E114813 entity
Predicate associatedWithHost P38981 FINISHED
Object Dick Clark E54334 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: Dick Clark | Statement: [Winner's Circle, associatedWithHost, Dick Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Clark
Context triple: [Winner's Circle, associatedWithHost, 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. 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.
  • D. Ernie McCracken
    Ernie McCracken is the flamboyantly villainous professional bowler and main antagonist portrayed by Bill Murray in the comedy film "Kingpin."
  • E. Dick Kinney
    Dick Kinney was an American screenwriter and story man best known for his work on classic Disney cartoons and comic books featuring characters like Donald Duck and Goofy.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75454920819086e09d6055087e40 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba76ef188190ab31623d1a44ebb9 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.