Triple

T6900972
Position Surface form Disambiguated ID Type / Status
Subject René Goscinny E159491 entity
Predicate workedWith P398 FINISHED
Object Morris
Morris was a Belgian cartoonist best known as the co-creator and artist of the popular Western comic series "Lucky Luke."
 E627168 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: Morris | Statement: [René Goscinny, workedWith, Morris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morris
Context triple: [René Goscinny, workedWith, Morris]
  • A. Morris
    Morris is the given first name of Moe Berg, the American Major League Baseball catcher who later became a World War II intelligence officer.
  • B. Morris
    Morris is a common English-language surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Swinton
    Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
  • D. Swinton
    Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
  • E. Talbot
    Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
  • 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: Morris
Triple: [René Goscinny, workedWith, Morris]
Generated description
Morris was a Belgian cartoonist best known as the co-creator and artist of the popular Western comic series "Lucky Luke."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morris
Target entity description: Morris was a Belgian cartoonist best known as the co-creator and artist of the popular Western comic series "Lucky Luke."
  • A. Morris
    Morris is the given first name of Moe Berg, the American Major League Baseball catcher who later became a World War II intelligence officer.
  • B. Morris
    Morris is a common English-language surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Swinton
    Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
  • D. Swinton
    Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
  • E. Talbot
    Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9603f448190bb9f963c17ca206d completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748f0dc448190914e38d780644698 completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749f7ab5c8190ab823fac27f7484d completed March 28, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c74a6f828c8190bf0cc56227b1a5b2 completed March 28, 2026, 3:26 a.m.
Created at: March 27, 2026, 2:24 p.m.