Triple

T2751378
Position Surface form Disambiguated ID Type / Status
Subject Rio 2 E60994 entity
Predicate producer P490 FINISHED
Object John C. Donkin
John C. Donkin is an American film producer known for his work on animated features, particularly with Blue Sky Studios.
 E692037 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: John C. Donkin | Statement: [Rio 2, producer, John C. Donkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John C. Donkin
Context triple: [Rio 2, producer, John C. Donkin]
  • A. Henry W. Gerrard
    Henry W. Gerrard was an American cinematographer active in early 20th-century Hollywood, known for his work on classic genre films.
  • B. Edwin T. Meredith
    Edwin T. Meredith was an American publisher and politician who served as U.S. Secretary of Agriculture under President Woodrow Wilson.
  • C. Charles R. Fenwick
    Charles R. Fenwick was a Virginia lawyer and long-serving state legislator known for his influence on transportation policy, for whom the Charles R. Fenwick Bridge is named.
  • D. George T. Dunlap
    George T. Dunlap was an American publisher best known as a co-founder of the prominent publishing house Grosset & Dunlap.
  • E. Charles D. Norton
    Charles D. Norton was an American figure notable for helping establish the American Cancer Society, a leading nonprofit organization dedicated to cancer research and patient support.
  • 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: John C. Donkin
Triple: [Rio 2, producer, John C. Donkin]
Generated description
John C. Donkin is an American film producer known for his work on animated features, particularly with Blue Sky Studios.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John C. Donkin
Target entity description: John C. Donkin is an American film producer known for his work on animated features, particularly with Blue Sky Studios.
  • A. Henry W. Gerrard
    Henry W. Gerrard was an American cinematographer active in early 20th-century Hollywood, known for his work on classic genre films.
  • B. Edwin T. Meredith
    Edwin T. Meredith was an American publisher and politician who served as U.S. Secretary of Agriculture under President Woodrow Wilson.
  • C. Charles R. Fenwick
    Charles R. Fenwick was a Virginia lawyer and long-serving state legislator known for his influence on transportation policy, for whom the Charles R. Fenwick Bridge is named.
  • D. George T. Dunlap
    George T. Dunlap was an American publisher best known as a co-founder of the prominent publishing house Grosset & Dunlap.
  • E. Charles D. Norton
    Charles D. Norton was an American figure notable for helping establish the American Cancer Society, a leading nonprofit organization dedicated to cancer research and patient support.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6b6f0c8190901ab032dfb21e37 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69c9d13a8b108190a0b13592f3a6362e completed March 30, 2026, 1:26 a.m.
NEDg Description generation batch_69c9d44d0d2881909f4ed7af19ae5f02 completed March 30, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69c9d4cab81081908c374a250e9f3fa2 completed March 30, 2026, 1:41 a.m.
Created at: March 6, 2026, 9:56 p.m.