Triple

T14137166
Position Surface form Disambiguated ID Type / Status
Subject Jay Leno’s garage in Burbank, California E350327 entity
Predicate associatedPerson P2308 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’s garage in Burbank, California, associatedPerson, Jay Leno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Leno
Context triple: [Jay Leno’s garage in Burbank, California, associatedPerson, 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. Mark Leno
    Mark Leno is an American Democratic politician and former California state legislator known for representing San Francisco in both the State Assembly and State Senate.
  • C. Leno
    Leno is a river in northern Italy that serves as a tributary of the Brenta River.
  • D. John Carson
    John Carson is a fictional character appearing in the film "The Miracle Woman."
  • E. Ed McMahon
    Ed McMahon was an American television personality and announcer best known as Johnny Carson’s longtime sidekick on “The Tonight Show.”
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610fb86c81909eb26bf9c13696ca completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d043860819099526cbae1b1ef18 completed May 8, 2026, 1:31 a.m.
Created at: April 10, 2026, 12:33 a.m.