Triple

T7465498
Position Surface form Disambiguated ID Type / Status
Subject Chiang Wei-kuo E176362 entity
Predicate givenName P17 FINISHED
Object Wei-kuo E176362 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: Wei-kuo | Statement: [Chiang Wei-kuo, givenName, Wei-kuo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wei-kuo
Context triple: [Chiang Wei-kuo, givenName, Wei-kuo]
  • A. Wei-kuo chosen
    Wei-kuo is the given name of Chiang Wei-kuo, a Chinese military officer and adopted son of Chiang Kai-shek who served in both German and later Republic of China forces.
  • B. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • C. Zhou
    Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
  • D. Changyi
    Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
  • E. Pei
    Pei is the family name of I. M. Pei, the renowned Chinese-American architect known for designing landmarks such as the Louvre Pyramid in Paris.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f28f34819080713a8abcc22034 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c5f1f408190a7d42abe28605ddb completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:40 p.m.