Triple
T6045189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fakui |
E134648
|
entity |
| Predicate | givenNameOf |
P17
|
FINISHED |
| Object | Zhang Fakui |
E19786
|
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: Zhang Fakui | Statement: [Fakui, givenNameOf, Zhang Fakui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhang Fakui Context triple: [Fakui, givenNameOf, Zhang Fakui]
-
A.
Zhang Fakui
chosen
Zhang Fakui was a prominent Nationalist Chinese general who played key roles in major early battles of the Second Sino-Japanese War.
-
B.
Zhang Zhenlin
Zhang Zhenlin is a prominent Chinese professional basketball forward known for his scoring and athleticism in the Chinese Basketball Association (CBA).
-
C.
Zhao Erkang
Zhao Erkang is a fictional character from the popular Chinese television drama "My Fair Princess" (Huan Zhu Ge Ge), known as a loyal and talented imperial guard and romantic lead.
-
D.
Zhang Wenqi
Zhang Wenqi is a Chinese basketball player best known for having played professionally for the Shanghai Sharks in the Chinese Basketball Association.
-
E.
Wu Jingyu
Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62cf2edd48190b3d5f6bf27075fed |
completed | March 27, 2026, 7:08 a.m. |
Created at: March 22, 2026, 4:09 p.m.