Triple

T685779
Position Surface form Disambiguated ID Type / Status
Subject 2008 Summer Olympics E13279 entity
Predicate mascot P52 FINISHED
Object Beibei
Beibei is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, symbolizing prosperity and representing the element of water.
 E85206 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: Beibei | Statement: [2008 Summer Olympics, mascot, Beibei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beibei
Context triple: [2008 Summer Olympics, mascot, Beibei]
  • A. Xue Yue
    Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • B. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • C. Michiko
    Michiko is the former Empress of Japan and the wife of Emperor Emeritus Akihito, known for being the first commoner to marry into the Japanese imperial family.
  • D. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • E. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • 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: Beibei
Triple: [2008 Summer Olympics, mascot, Beibei]
Generated description
Beibei is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, symbolizing prosperity and representing the element of water.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beibei
Target entity description: Beibei is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, symbolizing prosperity and representing the element of water.
  • A. Xue Yue
    Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • B. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • C. Michiko
    Michiko is the former Empress of Japan and the wife of Emperor Emeritus Akihito, known for being the first commoner to marry into the Japanese imperial family.
  • D. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • E. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0924dec8190bbbd2bb244f85211 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca352248190a3e1b4e4c58a1e7f completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5dd2e39808190ab116593299a94f8 completed March 2, 2026, 6:55 p.m.
NED2 Entity disambiguation (via description) batch_69a5fe3bb2a08190a01ce2ed8b52ee4a completed March 2, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:36 p.m.