Triple

T562467
Position Surface form Disambiguated ID Type / Status
Subject Jay Leno E13481 entity
Predicate stageName P7872 FINISHED
Object Jay Leno E13481 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: Jay Leno | Statement: [Jay Leno, stageName, Jay Leno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Leno
Context triple: [Jay Leno, stageName, Jay Leno]
  • A. Jay Leno chosen
    Jay Leno is an American comedian and longtime host of NBC’s “The Tonight Show,” known for his observational stand-up and prominent role in late-night television.
  • B. Steve Ross
    Steve Ross was an American businessman best known for building Warner Communications into a media powerhouse and serving as a key architect of what became Time Warner.
  • C. David Letterman
    David Letterman is an American television host and comedian best known for his long-running late-night talk shows, including "Late Night with David Letterman" and "The Late Show with David Letterman."
  • D. Steve Harvey
    Steve Harvey is an American comedian, television host, and author best known for hosting shows like Family Feud and writing the relationship advice book "Act Like a Lady, Think Like a Man."
  • E. Joseph Clerico
    Joseph Clerico was a French impresario best known for co-founding and developing the famed Lido de Paris cabaret into one of Paris’s most iconic nightlife institutions.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a700e608190b235246df057bd9b completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4fc7dea048190a5a1472825f6d747 completed March 2, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:32 p.m.