Triple

T16161613
Position Surface form Disambiguated ID Type / Status
Subject Leo (2023 film) E392192 entity
Predicate hasCastMember P2308 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: [Leo (2023 film), hasCastMember, Jason Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Alexander
Context triple: [Leo (2023 film), hasCastMember, 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. Justin Lader
    Justin Lader is an American screenwriter best known for his work on character-driven, genre-blending films such as the surreal romantic drama "The One I Love."
  • D. Howard Michael Mandel
    Howard Michael Mandel is a Canadian comedian, actor, and television host best known for hosting "Deal or No Deal" and serving as a judge on "America's Got Talent."
  • E. 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.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5ffba88190b9dc7bb9afb6fdf2 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b33f3481909fe856b8be7d9bcd completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.