Triple

T3321233
Position Surface form Disambiguated ID Type / Status
Subject The Day of the Jackal E69799 entity
Predicate editedBy P1954 FINISHED
Object Ralph Winbger
Ralph Winbger is an editor known for his work on the novel "The Day of the Jackal."
E348913 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: Ralph Winbger | Statement: [The Day of the Jackal, editedBy, Ralph Winbger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Winbger
Context triple: [The Day of the Jackal, editedBy, Ralph Winbger]
  • A. Ralph Hart
    Ralph Hart is an actor best known for his role on the classic American television sitcom "The Lucy Show."
  • B. Ralph Johnson
    Ralph Johnson is a computer scientist and influential software engineer best known as one of the "Gang of Four" authors who popularized design patterns in object-oriented programming.
  • C. Ronald Fish
    Ronald Fish is a fictional character in P. G. Wodehouse’s Blandings Castle stories, known as one of Lord Emsworth’s amiable but often troublesome younger relatives.
  • D. Willard Nico
    Willard Nico was a film editor best known for his work on classic Hollywood productions, including Charlie Chaplin’s 1940 satirical film "The Great Dictator."
  • E. Howard Franklin
    Howard Franklin is an American screenwriter and film director known for his work on movies such as "Quick Change" and "The Name of the Rose."
  • 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: Ralph Winbger
Triple: [The Day of the Jackal, editedBy, Ralph Winbger]
Generated description
Ralph Winbger is an editor known for his work on the novel "The Day of the Jackal."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ralph Winbger
Target entity description: Ralph Winbger is an editor known for his work on the novel "The Day of the Jackal."
  • A. Ralph Hart
    Ralph Hart is an actor best known for his role on the classic American television sitcom "The Lucy Show."
  • B. Ralph Johnson
    Ralph Johnson is a computer scientist and influential software engineer best known as one of the "Gang of Four" authors who popularized design patterns in object-oriented programming.
  • C. Ronald Fish
    Ronald Fish is a fictional character in P. G. Wodehouse’s Blandings Castle stories, known as one of Lord Emsworth’s amiable but often troublesome younger relatives.
  • D. Willard Nico
    Willard Nico was a film editor best known for his work on classic Hollywood productions, including Charlie Chaplin’s 1940 satirical film "The Great Dictator."
  • E. Howard Franklin
    Howard Franklin is an American screenwriter and film director known for his work on movies such as "Quick Change" and "The Name of the Rose."
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13b85208190b13aba355d5dafcf completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7954248190b0c7b5d6ab3c6687 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c34cc388190a5fab8e9b2a1aa92 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31da025048190b7d1611df82a542c completed March 12, 2026, 8:10 p.m.
Created at: March 8, 2026, 3:11 p.m.