Triple

T11682636
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Stuart Leibowitz E277655 entity
Predicate birthName P65 FINISHED
Object Jonathan Stuart Leibowitz E277655 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 Stuart Leibowitz | Statement: [Jonathan Stuart Leibowitz, birthName, Jonathan Stuart Leibowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Stuart Leibowitz
Context triple: [Jonathan Stuart Leibowitz, birthName, Jonathan Stuart Leibowitz]
  • A. Jonathan Stuart Leibowitz chosen
    Jonathan Stuart Leibowitz is an American comedian, writer, producer, and former host of "The Daily Show," better known professionally as Jon Stewart.
  • B. Jay Rabinowitz
    Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
  • C. Simon Leibowitz
    Simon Leibowitz is an individual notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • D. Michael Bluestein
    Michael Bluestein is an American keyboardist and songwriter best known as a longtime member of the rock band Foreigner.
  • E. Michael Goldstein
    Michael Goldstein is a relatively common personal name shared by multiple individuals across fields such as academia, business, and the arts, rather than referring to a single widely recognized public figure.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6554ec69c8190ba9ffbaf220c44f4 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:40 p.m.