Triple

T15132268
Position Surface form Disambiguated ID Type / Status
Subject Uncle Buck E361448 entity
Predicate producer P490 FINISHED
Object Tom Jacobson
Tom Jacobson is a film producer best known for his work on popular Hollywood comedies such as "Uncle Buck."
 E1139473 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: Tom Jacobson | Statement: [Uncle Buck, producer, Tom Jacobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Jacobson
Context triple: [Uncle Buck, producer, Tom Jacobson]
  • A. Tom Jacobson
    Tom Jacobson is a film producer best known for his work on major Hollywood genre movies, including the science fiction thriller "The Darkest Hour."
  • B. Tom Jacobson
    Tom Jacobson is a film producer best known for his work on popular Hollywood movies including the 1986 teen comedy classic "Ferris Bueller's Day Off."
  • C. Eric Jacobson
    Eric Jacobson is an American puppeteer best known for performing several iconic Muppet and Sesame Street characters, including taking over roles originally performed by Frank Oz.
  • D. Larry Jacobson
    Larry Jacobson is a television producer best known for his role as an executive producer on the late-night talk program "The Jay Leno Show."
  • E. Jeff Jacobs
    Jeff Jacobs is a musician best known as a former keyboardist for the British-American rock band Foreigner.
  • 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: Tom Jacobson
Triple: [Uncle Buck, producer, Tom Jacobson]
Generated description
Tom Jacobson is a film producer best known for his work on popular Hollywood comedies such as "Uncle Buck."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Jacobson
Target entity description: Tom Jacobson is a film producer best known for his work on popular Hollywood comedies such as "Uncle Buck."
  • A. Tom Jacobson
    Tom Jacobson is a film producer best known for his work on major Hollywood genre movies, including the science fiction thriller "The Darkest Hour."
  • B. Tom Jacobson
    Tom Jacobson is a film producer best known for his work on popular Hollywood movies including the 1986 teen comedy classic "Ferris Bueller's Day Off."
  • C. Eric Jacobson
    Eric Jacobson is an American puppeteer best known for performing several iconic Muppet and Sesame Street characters, including taking over roles originally performed by Frank Oz.
  • D. Larry Jacobson
    Larry Jacobson is a television producer best known for his role as an executive producer on the late-night talk program "The Jay Leno Show."
  • E. Jeff Jacobs
    Jeff Jacobs is a musician best known as a former keyboardist for the British-American rock band Foreigner.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b194748190801e3956bf2429d4 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe8802c81909af9dd11a7805f31 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec0c97f4c819084ba9eb2d8f69ceb completed May 9, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69fec13ccea48190aeb155af012478b8 completed May 9, 2026, 5:08 a.m.
Created at: April 10, 2026, 3:06 a.m.