Triple

T19671527
Position Surface form Disambiguated ID Type / Status
Subject Everybody (Backstreet's Back) E472343 entity
Predicate musicVideoDirector P4911 FINISHED
Object Joseph Kahn NE NERFINISHED

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: [Everybody (Backstreet's Back), musicVideoDirector, Joseph Kahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Kahn
Context triple: [Everybody (Backstreet's Back), musicVideoDirector, Joseph Kahn]
  • A. Joseph Kahn chosen
    Joseph Kahn is a prominent American music video and film director known for his visually dynamic, high-concept work with major pop and hip-hop artists.
  • B. Joseph Kahn
    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.
  • C. Ken Turkin
    Ken Turkin is a musician best known as a member of the American garage rock band The Shadows of Knight.
  • D. Jon Turteltaub
    Jon Turteltaub is an American film director and producer known for helming popular mainstream movies such as the National Treasure series, Cool Runnings, and While You Were Sleeping.
  • E. Lawrence Dobkin
    Lawrence Dobkin was an American character actor, director, and narrator known for his prolific work in film, television, and radio from the 1940s through the 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416cb0bc8190ab27dd28eebb50e7 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.