Triple

T6294870
Position Surface form Disambiguated ID Type / Status
Subject Hall E141105 entity
Predicate hasNotableBearer P458 FINISHED
Object Arsenio Hall E248299 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: Arsenio Hall | Statement: [Hall, hasNotableBearer, Arsenio Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arsenio Hall
Context triple: [Hall, hasNotableBearer, Arsenio Hall]
  • A. Arsenio Hall chosen
    Arsenio Hall is an American comedian, actor, and talk show host best known for hosting "The Arsenio Hall Show" and for his roles in films like "Coming to America."
  • B. Allen Ludden
    Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
  • C. Hugh Downs
    Hugh Downs was a prominent American broadcaster and television host best known for his long-running roles on programs like NBC’s Today and ABC’s newsmagazine 20/20.
  • D. Regis Philbin
    Regis Philbin was an American television personality and talk show host best known for his long-running morning shows and for hosting the game show "Who Wants to Be a Millionaire."
  • E. 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.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06439a6908190b0a8ebf426d3ca02 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d25ff1081908d07c649555f17c4 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:27 p.m.