Triple
T7588836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Fo |
E179683
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sun Fo |
E675720
|
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 Fo, name, Sun Fo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun Fo Context triple: [Sun Fo, name, Sun Fo]
-
A.
Sun Fo
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.
Sun Ke
chosen
Sun Ke, also known as Sun Fo, was a prominent Chinese politician and son of Sun Yat-sen who held key governmental positions in the Republic of China.
-
C.
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.
-
D.
Sun Ji
Sun Ji is a Chinese professional footballer best known for his time as a defender with Hangzhou Greentown F.C.
-
E.
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.
- 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_69c6f99991948190af1fb0635895ad94 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86840abc08190b7ca9fb8e2968311 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:52 p.m.