Triple

T21509780
Position Surface form Disambiguated ID Type / Status
Subject People's Volunteer Army E530685 entity
Predicate notableCommander P1197 FINISHED
Object Han Xianchu 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: Han Xianchu | Statement: [People's Volunteer Army, notableCommander, Han Xianchu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Han Xianchu
Context triple: [People's Volunteer Army, notableCommander, Han Xianchu]
  • A. Han Xianchu chosen
    Han Xianchu was a prominent Chinese military commander of the People’s Liberation Army, known for his key roles in major campaigns during the Chinese Civil War and the Korean War.
  • B. Han Xiting
    Han Xiting is an actress known for her role in the Chinese historical war drama film "The Flowers of War."
  • C. Wang Xiancheng
    Wang Xiancheng was a Ming dynasty official and scholar best known for creating the renowned classical Chinese landscape garden now called the Humble Administrator's Garden in Suzhou.
  • D. Xiong Huai
    Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
  • E. He Xiangjian
    He Xiangjian is a Chinese billionaire entrepreneur best known as the founder of Midea Group, one of the world’s largest home appliance manufacturers.
  • 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.