Triple

T11416618
Position Surface form Disambiguated ID Type / Status
Subject Mr. Spacely E270508 entity
Predicate portrayedByVoice P13156 FINISHED
Object Jason Alexander E212777 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: Jason Alexander | Statement: [Mr. Spacely, portrayedByVoice, Jason Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Alexander
Context triple: [Mr. Spacely, portrayedByVoice, Jason Alexander]
  • A. Jason Alexander chosen
    Jason Alexander is an American actor and comedian best known for his role as George Costanza on the television sitcom "Seinfeld."
  • B. Jason Allen Alexander
    Jason Allen Alexander is an American man best known for his brief 2004 marriage to pop star Britney Spears.
  • C. John Corbett
    John Corbett is an American actor and country music singer best known for his roles in "Sex and the City," "My Big Fat Greek Wedding," and various television and film projects.
  • D. Ted McGinley
    Ted McGinley is an American actor best known for his roles on television series such as "Married... with Children," "Happy Days," and "The Love Boat."
  • E. Joe Lo Truglio
    Joe Lo Truglio is an American actor and comedian best known for his role as the earnest, quirky detective Charles Boyle on the television sitcom "Brooklyn Nine-Nine."
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b87ca7408190a4962bbaf89222bf completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.