Triple

T21509779
Position Surface form Disambiguated ID Type / Status
Subject People's Volunteer Army E530685 entity
Predicate notableCommander P1197 FINISHED
Object Yang Dezhi NE NERFINISHED

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: Yang Dezhi | Statement: [People's Volunteer Army, notableCommander, Yang Dezhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yang Dezhi
Context triple: [People's Volunteer Army, notableCommander, Yang Dezhi]
  • A. Yang Dezhi chosen
    Yang Dezhi was a prominent Chinese general who held senior command roles in the People’s Liberation Army, including leadership during the Sino-Vietnamese War.
  • B. Duan Yueheng
    Duan Yueheng is a film editor best known for editing the Chinese crime drama film "Shanghai Triad."
  • C. Yang Jian
    Yang Jian is a historical Chinese figure best known as Emperor Wen of Sui, the founder and first emperor of the Sui dynasty who reunified China in the late 6th century.
  • D. Zhao Leji
    Zhao Leji is a senior Chinese Communist Party politician and close ally of Xi Jinping who serves as one of China’s top state leaders.
  • E. Zhu Dong
    Zhu Dong was a historical Chinese scholar and educator credited with establishing the influential Yuelu Academy, one of China’s renowned ancient academies of classical learning.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.