Triple
T8482230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fan Hui |
E200547
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Fan Hui |
E200547
|
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: Fan Hui | Statement: [Fan Hui, name, Fan Hui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fan Hui Context triple: [Fan Hui, name, Fan Hui]
-
A.
Fan Hui
chosen
Fan Hui is a professional Go player who became widely known as the first human defeated by DeepMind's AlphaGo program in an official match.
-
B.
Freddie Chan
Freddie Chan is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Chan.
-
C.
Savio Kwan
Savio Kwan is a business executive best known for his leadership roles at Alibaba Group, where he helped guide the company’s early growth and international expansion.
-
D.
Dan Huiting
Dan Huiting is a music video director known for his visually distinctive work with indie and alternative artists.
-
E.
Jianhang Jin
Jianhang Jin is a Chinese entrepreneur best known as a co-founder and early leader of the e-commerce and technology conglomerate Alibaba Group.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53638c48190b742fc51d1b4442a |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a2b2e9081909f19712946c6ec20 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:12 p.m.