Triple

T7781490
Position Surface form Disambiguated ID Type / Status
Subject Shishapangma E221528 entity
Predicate firstAscentBy P1321 FINISHED
Object Xu Jing
Xu Jing was a pioneering Chinese mountaineer known for leading the first successful ascent of the Himalayan peak Shishapangma.
E693297 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: Xu Jing | Statement: [Shishapangma, firstAscentBy, Xu Jing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xu Jing
Context triple: [Shishapangma, firstAscentBy, Xu Jing]
  • A. Li Shuxian
    Li Shuxian was the last wife of Puyi, the final emperor of China, and lived a largely private life after the fall of the Qing dynasty.
  • B. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • C. Jiang Wenli
    Jiang Wenli is a renowned Chinese actress celebrated for her versatile performances in film and television dramas.
  • D. Shang Xiaoyun
    Shang Xiaoyun was a renowned 20th-century Peking opera artist celebrated as one of the "Four Great Dan" for his influential performances in female roles and contributions to the art form’s modernization.
  • E. Lu Wei
    Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
  • 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: Xu Jing
Triple: [Shishapangma, firstAscentBy, Xu Jing]
Generated description
Xu Jing was a pioneering Chinese mountaineer known for leading the first successful ascent of the Himalayan peak Shishapangma.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xu Jing
Target entity description: Xu Jing was a pioneering Chinese mountaineer known for leading the first successful ascent of the Himalayan peak Shishapangma.
  • A. Li Shuxian
    Li Shuxian was the last wife of Puyi, the final emperor of China, and lived a largely private life after the fall of the Qing dynasty.
  • B. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • C. Jiang Wenli
    Jiang Wenli is a renowned Chinese actress celebrated for her versatile performances in film and television dramas.
  • D. Shang Xiaoyun
    Shang Xiaoyun was a renowned 20th-century Peking opera artist celebrated as one of the "Four Great Dan" for his influential performances in female roles and contributions to the art form’s modernization.
  • E. Lu Wei
    Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5c1f20c81908ae2fc35550b91b5 completed March 30, 2026, 10:14 p.m.
NEDg Description generation batch_69caf81ebde881909bd131da8987b449 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa013f348190a2067dee4a0c8c40 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:21 p.m.