Triple

T5417474
Position Surface form Disambiguated ID Type / Status
Subject Carry On Cleo E121166 entity
Predicate producer P490 FINISHED
Object Peter Rogers
Peter Rogers was a British film producer best known for overseeing the long-running and popular "Carry On" comedy film series.
 E521829 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: Peter Rogers | Statement: [Carry On Cleo, producer, Peter Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Rogers
Context triple: [Carry On Cleo, producer, Peter Rogers]
  • A. Paul Rogers
    Paul Rogers is an American film editor best known for his Academy Award–winning work on the multiverse film "Everything Everywhere All at Once."
  • B. Graham Rogers
    Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
  • C. Ben Rogers
    Ben Rogers is a lively, boastful boy in Mark Twain’s "The Adventures of Tom Sawyer," known for being one of Tom’s close companions in their childhood adventures.
  • D. Howard Emmett Rogers
    Howard Emmett Rogers was an American screenwriter active during Hollywood’s early studio era, known for contributing to several notable films in the 1930s and 1940s.
  • E. Ian Roberts
    Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
  • 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: Peter Rogers
Triple: [Carry On Cleo, producer, Peter Rogers]
Generated description
Peter Rogers was a British film producer best known for overseeing the long-running and popular "Carry On" comedy film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Rogers
Target entity description: Peter Rogers was a British film producer best known for overseeing the long-running and popular "Carry On" comedy film series.
  • A. Paul Rogers
    Paul Rogers is an American film editor best known for his Academy Award–winning work on the multiverse film "Everything Everywhere All at Once."
  • B. Graham Rogers
    Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
  • C. Ben Rogers
    Ben Rogers is a lively, boastful boy in Mark Twain’s "The Adventures of Tom Sawyer," known for being one of Tom’s close companions in their childhood adventures.
  • D. Howard Emmett Rogers
    Howard Emmett Rogers was an American screenwriter active during Hollywood’s early studio era, known for contributing to several notable films in the 1930s and 1940s.
  • E. Ian Roberts
    Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e620f081909eb9a5e1f284e5a2 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf487beb188190be0adf8f88048a56 completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf48cf7df08190ac0b970517c50ca8 completed March 22, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_69bf4928be9081908865b8062e96c580 completed March 22, 2026, 1:43 a.m.
Created at: March 20, 2026, 2:05 p.m.