Triple

T7961889
Position Surface form Disambiguated ID Type / Status
Subject Coming 2 America E184884 entity
Predicate stars P1956 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: [Coming 2 America, stars, Arsenio Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arsenio Hall
Context triple: [Coming 2 America, stars, 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. Dan Hartman
    Dan Hartman was an American musician, singer, songwriter, and producer best known for his disco and pop hits in the 1970s and 1980s.
  • D. 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.
  • E. 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."
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9df72081908d33925da10192e9 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc566604e881908792c7155a370e4c completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:12 p.m.