Triple

T12670840
Position Surface form Disambiguated ID Type / Status
Subject Jon Lovitz E302675 entity
Predicate birthName P65 FINISHED
Object Jonathan Michael Lovitz E302675 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: Jonathan Michael Lovitz | Statement: [Jon Lovitz, birthName, Jonathan Michael Lovitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Michael Lovitz
Context triple: [Jon Lovitz, birthName, Jonathan Michael Lovitz]
  • A. Jon Lovitz chosen
    Jon Lovitz is an American comedian and actor best known for his work on "Saturday Night Live" and numerous comedic film and television roles.
  • B. 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."
  • C. Jeremy Sisto
    Jeremy Sisto is an American actor known for his roles in film and television, including prominent parts in projects like the teen comedy "Clueless" and the crime drama series "Law & Order."
  • D. Chris Kattan
    Chris Kattan is an American comedian and actor best known for his work on "Saturday Night Live" and roles in films like "A Night at the Roxbury."
  • E. David L. Lander
    David L. Lander was an American actor and comedian best known for playing the quirky character Andrew "Squiggy" Squiggman on the sitcom *Laverne & Shirley*.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719fb8bc8190b581a7fcfb252404 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.