Triple

T7588476
Position Surface form Disambiguated ID Type / Status
Subject Sun I-hsien E179674 entity
Predicate child P120 FINISHED
Object Sun Fo E179683 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: Sun Fo | Statement: [Sun I-hsien, child, Sun Fo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun Fo
Context triple: [Sun I-hsien, child, Sun Fo]
  • A. Sun Fo chosen
    Sun Fo was a prominent Chinese politician and statesman of the Republic of China era, known for his roles in the Nationalist government and as a key figure in early 20th-century Chinese politics.
  • B. Shuo Fu
    Shuo Fu is a chapter of the Daoist classic Liezi, traditionally attributed to the philosopher Lie Yukou and known for its collection of philosophical anecdotes and parables.
  • C. Sun Ji
    Sun Ji is a Chinese professional footballer best known for his time as a defender with Hangzhou Greentown F.C.
  • D. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • E. Kong He
    Kong He was the father of the ancient Chinese philosopher Confucius and a minor aristocratic military officer in the state of Lu.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f99875908190b09584cf13ea1e08 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8618d29c4819083e78266af8f2daa completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.