Triple

T21963844
Position Surface form Disambiguated ID Type / Status
Subject 2007 Asian Winter Games E542405 entity
Predicate mascot P52 FINISHED
Object Doudou
Doudou is the official mascot character created for the 2007 Asian Winter Games held in Changchun, China.
 E1510353 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: Doudou | Statement: [2007 Asian Winter Games, mascot, Doudou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doudou
Context triple: [2007 Asian Winter Games, mascot, Doudou]
  • A. Doudou
    Doudou is a familiar nickname or short form of the French given name Édouard.
  • B. Doudou of Mons
    Doudou of Mons is a historic annual festival in Mons, Belgium, featuring religious processions and a famous dragon-slaying reenactment known as the Lumeçon.
  • C. Chouchou
    Chouchou was the affectionate nickname of Claude Debussy’s young daughter, to whom he dedicated his piano suite "Children’s Corner."
  • D. Loulou
    Loulou is a given name or nickname commonly used in various cultures, often as a diminutive form of names like Louise or Louis.
  • E. Zouzou
    Zouzou is a 1934 French musical film starring Josephine Baker, notable for being one of the first major French films to feature a Black woman in a leading role.
  • 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: Doudou
Triple: [2007 Asian Winter Games, mascot, Doudou]
Generated description
Doudou is the official mascot character created for the 2007 Asian Winter Games held in Changchun, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doudou
Target entity description: Doudou is the official mascot character created for the 2007 Asian Winter Games held in Changchun, China.
  • A. Doudou
    Doudou is a familiar nickname or short form of the French given name Édouard.
  • B. Doudou of Mons
    Doudou of Mons is a historic annual festival in Mons, Belgium, featuring religious processions and a famous dragon-slaying reenactment known as the Lumeçon.
  • C. Chouchou
    Chouchou was the affectionate nickname of Claude Debussy’s young daughter, to whom he dedicated his piano suite "Children’s Corner."
  • D. Loulou
    Loulou is a given name or nickname commonly used in various cultures, often as a diminutive form of names like Louise or Louis.
  • E. Zouzou
    Zouzou is a 1934 French musical film starring Josephine Baker, notable for being one of the first major French films to feature a Black woman in a leading role.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12458e4488190a04f8d3958854b49 completed April 28, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6712b37c8190b2ff58713f1b45ee completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67a1c82881909f71e24139576c31 completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68583248819085f413692d35c1b9 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:01 p.m.