Triple

T6900974
Position Surface form Disambiguated ID Type / Status
Subject René Goscinny E159491 entity
Predicate workedWith P398 FINISHED
Object Tabary
Tabary was a French comics artist best known for co-creating and illustrating the humorous series "Iznogoud" in collaboration with writer René Goscinny.
E627169 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: Tabary | Statement: [René Goscinny, workedWith, Tabary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabary
Context triple: [René Goscinny, workedWith, Tabary]
  • A. Touqan
    Touqan is a family name of notable Palestinian origin, associated with prominent poets, politicians, and intellectuals in the Arab world.
  • B. Karakol
    Karakol is a town in eastern Kyrgyzstan near Lake Issyk-Kul, known as a gateway to the Tien Shan Mountains and a center for trekking and skiing.
  • C. Qataban
    Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
  • D. Khiva
    Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
  • E. Chelkash
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • 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: Tabary
Triple: [René Goscinny, workedWith, Tabary]
Generated description
Tabary was a French comics artist best known for co-creating and illustrating the humorous series "Iznogoud" in collaboration with writer René Goscinny.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tabary
Target entity description: Tabary was a French comics artist best known for co-creating and illustrating the humorous series "Iznogoud" in collaboration with writer René Goscinny.
  • A. Touqan
    Touqan is a family name of notable Palestinian origin, associated with prominent poets, politicians, and intellectuals in the Arab world.
  • B. Karakol
    Karakol is a town in eastern Kyrgyzstan near Lake Issyk-Kul, known as a gateway to the Tien Shan Mountains and a center for trekking and skiing.
  • C. Qataban
    Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
  • D. Khiva
    Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
  • E. Chelkash
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • 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.