Triple

T763912
Position Surface form Disambiguated ID Type / Status
Subject Fool's Paradise E16131 entity
Predicate starring P1507 FINISHED
Object Ken Jeong E44616 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: Ken Jeong | Statement: [Fool's Paradise, starring, Ken Jeong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Jeong
Context triple: [Fool's Paradise, starring, Ken Jeong]
  • A. Ken Jeong chosen
    Ken Jeong is an American comedian, actor, and licensed physician best known for his roles in "The Hangover" film series and the TV show "Community."
  • B. Ke Huy Quan
    Ke Huy Quan is a Vietnamese-American actor and former child star best known for his comeback role in "Everything Everywhere All at Once," which earned him widespread critical acclaim and major awards.
  • C. Kevin Hart
    Kevin Hart is an American stand-up comedian and actor known for his high-energy performances, self-deprecating humor, and starring roles in numerous hit comedy films.
  • D. Will Ferrell
    Will Ferrell is an American comedian, actor, writer, and producer best known for his work on "Saturday Night Live" and a series of hit comedy films such as "Anchorman" and "Elf."
  • E. Owen Wilson
    Owen Wilson is an American actor and screenwriter known for his laid-back charm and roles in popular comedies and adventure films such as "Wedding Crashers," "Zoolander," and "Midnight in Paris."
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69c8c448190a036a04fd8fdd2c2 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66673d6288190bb6a68c6c376016e completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.