Triple

T12667820
Position Surface form Disambiguated ID Type / Status
Subject Jerry Zucker E302602 entity
Predicate familyName P18 FINISHED
Object Zucker
Zucker is a surname most prominently associated with American filmmaker Jerry Zucker, known for directing hit comedies such as "Airplane!" and "Ghost."
 E994413 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: Zucker | Statement: [Jerry Zucker, familyName, Zucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zucker
Context triple: [Jerry Zucker, familyName, Zucker]
  • A. Zuckerhütl
    Zuckerhütl is a prominent mountain peak in the Austrian Tyrol, renowned among alpinists as the highest summit of the Stubai Alps.
  • B. Sugar on a Stick
    Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
  • C. Sugar
    Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
  • D. Sugar
    Sugar is a child-friendly, open-source learning platform and graphical interface designed to support education on low-cost laptops like those from the One Laptop per Child project.
  • E. Sugar
    "Sugar" is a 2014 pop song by American band Maroon 5, known for its catchy hook and a music video featuring surprise performances at real weddings.
  • 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: Zucker
Triple: [Jerry Zucker, familyName, Zucker]
Generated description
Zucker is a surname most prominently associated with American filmmaker Jerry Zucker, known for directing hit comedies such as "Airplane!" and "Ghost."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zucker
Target entity description: Zucker is a surname most prominently associated with American filmmaker Jerry Zucker, known for directing hit comedies such as "Airplane!" and "Ghost."
  • A. Zuckerhütl
    Zuckerhütl is a prominent mountain peak in the Austrian Tyrol, renowned among alpinists as the highest summit of the Stubai Alps.
  • B. Sugar on a Stick
    Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
  • C. Sugar
    Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
  • D. Sugar
    Sugar is a child-friendly, open-source learning platform and graphical interface designed to support education on low-cost laptops like those from the One Laptop per Child project.
  • E. Sugar
    "Sugar" is a 2014 pop song by American band Maroon 5, known for its catchy hook and a music video featuring surprise performances at real weddings.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688bfc048190970d281e66c34cdc completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6695372688190b09a2bb2e58cb546 completed May 2, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69f669fe4bc48190adba50ad58b10c45 completed May 2, 2026, 9:17 p.m.
Created at: April 9, 2026, 5:20 p.m.