Triple

T1369459
Position Surface form Disambiguated ID Type / Status
Subject Joseph Kahn E30078 entity
Predicate name P16 FINISHED
Object Joseph Kahn E30078 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: Joseph Kahn | Statement: [Joseph Kahn, name, Joseph Kahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Kahn
Context triple: [Joseph Kahn, name, Joseph Kahn]
  • A. Joseph Kahn chosen
    Joseph Kahn is an American journalist who serves as the executive editor of The New York Times and is known for his leadership in global and investigative reporting.
  • B. Charles Roven
    Charles Roven is an American film producer known for his work on major Hollywood blockbusters, including Christopher Nolan’s films such as Oppenheimer and The Dark Knight trilogy.
  • C. Rob Marshall
    Rob Marshall is an American film and theater director and choreographer best known for movie musicals such as "Chicago," "Into the Woods," and "Mary Poppins Returns."
  • D. Marc Turtletaub
    Marc Turtletaub is an American film producer and director known for backing acclaimed independent and character-driven movies such as "Little Miss Sunshine" and "A Beautiful Day in the Neighborhood."
  • E. Brett Ratner
    Brett Ratner is an American film director and producer best known for commercial hits like the Rush Hour series and X-Men: The Last Stand.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d60fdc8190a9954b74ca2b2541 completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08a9dd308190999d349f8b6297b8 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 7:57 p.m.