Triple

T8563098
Position Surface form Disambiguated ID Type / Status
Subject Philip Kaufman E202735 entity
Predicate familyName P18 FINISHED
Object Kaufman E490507 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: Kaufman | Statement: [Philip Kaufman, familyName, Kaufman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaufman
Context triple: [Philip Kaufman, familyName, Kaufman]
  • A. Kaufman chosen
    Kaufman is a surname most famously associated with American playwright and director George S. Kaufman, known for his sharp wit and influential contributions to 20th-century theater.
  • B. Kaufman
    Kaufman is a small suburban city within the Dallas–Fort Worth metropolitan area in Texas, known for its rural character and proximity to the larger urban core.
  • C. Donald Kaufman
    Donald Kaufman is a fictional twin brother of screenwriter Charlie Kaufman, created as a meta-character and co-protagonist in the film "Adaptation."
  • D. Kaminsky
    Kaminsky is the original family surname of American entertainer Danny Kaye, born David Daniel Kaminsky.
  • E. Bob Kaufman
    Bob Kaufman was an influential American Beat and jazz poet known for his surreal, improvisational style and his role in the mid-20th-century San Francisco literary scene.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9cfc4a48190ae4530d3614d115f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce895f91bc819099b1b2df59374403 completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:20 p.m.