Triple

T9266985
Position Surface form Disambiguated ID Type / Status
Subject Olympic Games mascots E222724 entity
Predicate notableExample P1503 FINISHED
Object Bing Dwen Dwen E85579 NE FINISHED

How this triple was built (2 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: Bing Dwen Dwen | Statement: [Olympic Games mascots, notableExample, Bing Dwen Dwen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bing Dwen Dwen
Context triple: [Olympic Games mascots, notableExample, Bing Dwen Dwen]
  • A. Bing Dwen Dwen chosen
    Bing Dwen Dwen is the panda-shaped official mascot of the 2022 Beijing Winter Olympics, known for its ice-suit design and playful, friendly appearance.
  • B. Beibei
    Beibei is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, symbolizing prosperity and representing the element of water.
  • C. Kumamon
    Kumamon is a popular black bear mascot character created to promote Japan’s Kumamoto Prefecture, known nationwide for its cute, humorous appearance and extensive merchandising.
  • D. Zimei
    Zimei is the courtesy name of Du Fu, one of China's greatest Tang dynasty poets renowned for his profound historical and social verse.
  • E. Gudetama
    Gudetama is a popular Sanrio character depicted as a lazy, unmotivated egg yolk, known for its apathetic personality and humorous, relatable expressions of fatigue and indifference.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd074bac9481909419988a9e8d9bd5 completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c193b548190afe79d0c84fa2bd3 completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:33 p.m.