Triple

T9890237
Position Surface form Disambiguated ID Type / Status
Subject Shenzhou 12 E181432 entity
Predicate commander P1061 FINISHED
Object Nie Haisheng E827564 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: Nie Haisheng | Statement: [Shenzhou 12, commander, Nie Haisheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nie Haisheng
Context triple: [Shenzhou 12, commander, Nie Haisheng]
  • A. Nie Haisheng chosen
    Nie Haisheng is a veteran Chinese taikonaut and military pilot who has commanded multiple Shenzhou space missions as part of China’s human spaceflight program.
  • B. Sun Jiaolong
    Sun Jiaolong is an actor known for appearing in the film "Special ID."
  • C. Liu Buchan
    Liu Buchan was a late Qing dynasty Chinese naval officer best known for commanding the Beiyang Fleet during the First Sino-Japanese War.
  • D. Mengtian
    Mengtian is a Chinese space laboratory module that forms part of the Tiangong space station, supporting scientific experiments and research in orbit.
  • E. Yu Minhong
    Yu Minhong is a prominent Chinese entrepreneur and educator best known as the founder of New Oriental Education & Technology Group, one of China’s largest private education companies.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47dfa908190884e96e5e5d6f41f completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d888b408190a68ff55d63558478 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:39 p.m.