Triple

T8424397
Position Surface form Disambiguated ID Type / Status
Subject Dirty Dancing E198940 entity
Predicate cinematographyBy P1953 FINISHED
Object Jeff Jur
Jeff Jur is an American cinematographer known for his work on films and television series, including the iconic 1987 movie "Dirty Dancing."
E733164 NE FINISHED

How this triple was built (4 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: Jeff Jur | Statement: [Dirty Dancing, cinematographyBy, Jeff Jur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Jur
Context triple: [Dirty Dancing, cinematographyBy, Jeff Jur]
  • A. Eric Jager
    Eric Jager is an American medievalist and author best known for his historical narrative "The Last Duel," which recounts a famous 14th-century French trial by combat.
  • B. Jeff Michael
    Jeff Michael is a composer best known for his work on the science fiction television series "Star Trek: The Animated Series."
  • C. Jeff Jenkins
    Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
  • D. Jeff Jacobs
    Jeff Jacobs is a musician best known as a former keyboardist for the British-American rock band Foreigner.
  • E. Jeff Pehrson
    Jeff Pehrson is an American singer-songwriter and harmony vocalist best known for his work with post-Grateful Dead band Furthur and the folk-rock duo Box Set.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jeff Jur
Triple: [Dirty Dancing, cinematographyBy, Jeff Jur]
Generated description
Jeff Jur is an American cinematographer known for his work on films and television series, including the iconic 1987 movie "Dirty Dancing."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff Jur
Target entity description: Jeff Jur is an American cinematographer known for his work on films and television series, including the iconic 1987 movie "Dirty Dancing."
  • A. Eric Jager
    Eric Jager is an American medievalist and author best known for his historical narrative "The Last Duel," which recounts a famous 14th-century French trial by combat.
  • B. Jeff Michael
    Jeff Michael is a composer best known for his work on the science fiction television series "Star Trek: The Animated Series."
  • C. Jeff Jenkins
    Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
  • D. Jeff Jacobs
    Jeff Jacobs is a musician best known as a former keyboardist for the British-American rock band Foreigner.
  • E. Jeff Pehrson
    Jeff Pehrson is an American singer-songwriter and harmony vocalist best known for his work with post-Grateful Dead band Furthur and the folk-rock duo Box Set.
  • F. None of above. chosen

Provenance (5 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a0d04481908a5da908cafeceaa completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035aac4c81909066c1ca1318d006 completed April 2, 2026, 5:49 a.m.
NEDg Description generation batch_69ce07837648819080cd4026af55b246 completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce083cee848190b27a7dd19a16a0dc completed April 2, 2026, 6:10 a.m.
Created at: March 30, 2026, 6:07 p.m.