Triple

T4890003
Position Surface form Disambiguated ID Type / Status
Subject Don Zimmerman E109534 entity
Predicate notableWork P4 FINISHED
Object Norbit
Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
 E477743 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: Norbit | Statement: [Don Zimmerman, notableWork, Norbit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norbit
Context triple: [Don Zimmerman, notableWork, Norbit]
  • A. Odie
    Odie is the lovable, dim-witted yellow dog from the Garfield franchise, known for his boundless energy, slobbery affection, and frequent role as Garfield’s hapless sidekick.
  • B. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • C. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • D. Laika
    Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
  • E. Laika
    Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
  • 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: Norbit
Triple: [Don Zimmerman, notableWork, Norbit]
Generated description
Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norbit
Target entity description: Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
  • A. Odie
    Odie is the lovable, dim-witted yellow dog from the Garfield franchise, known for his boundless energy, slobbery affection, and frequent role as Garfield’s hapless sidekick.
  • B. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • C. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • D. Laika
    Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
  • E. Laika
    Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e06a81881908734dbdc350a2039 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681704f08190938aec498d7d4662 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6d3127448190ab7a967ab78820a4 completed March 21, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_69be6dd42bc08190ba4561f74ca7733b completed March 21, 2026, 10:07 a.m.
Created at: March 20, 2026, 1:28 p.m.