Triple

T6900975
Position Surface form Disambiguated ID Type / Status
Subject René Goscinny E159491 entity
Predicate workedWith P398 FINISHED
Object Gotlib
Gotlib was a French cartoonist and comics author renowned for his influential, often absurdist humor and for co-founding the magazine Fluide Glacial.
E627170 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: Gotlib | Statement: [René Goscinny, workedWith, Gotlib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gotlib
Context triple: [René Goscinny, workedWith, Gotlib]
  • A. Repossi
    Repossi is a high-end Italian jewelry house renowned for its avant-garde, architectural designs and strong heritage in fine jewelry craftsmanship.
  • B. Blocket
    Blocket is a major Swedish online classifieds marketplace for buying and selling goods and services, owned by the media group Schibsted.
  • C. Librarian’s Vault
    Librarian’s Vault is a secure, restricted-access chamber within the Library of Congress that houses some of the institution’s most rare, valuable, and historically significant materials.
  • D. Ledger
    Ledger is a surname most famously associated with Australian actor Heath Ledger, known for his acclaimed and influential film performances.
  • E. Calibre
    Calibre is a 2018 British thriller film about a hunting trip in the Scottish Highlands that goes disastrously wrong, starring Jack Lowden.
  • 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: Gotlib
Triple: [René Goscinny, workedWith, Gotlib]
Generated description
Gotlib was a French cartoonist and comics author renowned for his influential, often absurdist humor and for co-founding the magazine Fluide Glacial.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gotlib
Target entity description: Gotlib was a French cartoonist and comics author renowned for his influential, often absurdist humor and for co-founding the magazine Fluide Glacial.
  • A. Repossi
    Repossi is a high-end Italian jewelry house renowned for its avant-garde, architectural designs and strong heritage in fine jewelry craftsmanship.
  • B. Blocket
    Blocket is a major Swedish online classifieds marketplace for buying and selling goods and services, owned by the media group Schibsted.
  • C. Librarian’s Vault
    Librarian’s Vault is a secure, restricted-access chamber within the Library of Congress that houses some of the institution’s most rare, valuable, and historically significant materials.
  • D. Ledger
    Ledger is a surname most famously associated with Australian actor Heath Ledger, known for his acclaimed and influential film performances.
  • E. Calibre
    Calibre is a 2018 British thriller film about a hunting trip in the Scottish Highlands that goes disastrously wrong, starring Jack Lowden.
  • 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.