Triple
T4090381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eason Chan |
E87689
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eason Chan |
E87689
|
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: Eason Chan | Statement: [Eason Chan, name, Eason Chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eason Chan Context triple: [Eason Chan, name, Eason Chan]
-
A.
Eason Chan
chosen
Eason Chan is a highly acclaimed Hong Kong singer and actor, widely recognized as one of the leading figures in contemporary Cantopop.
-
B.
Alex Tse
Alex Tse is an American screenwriter and producer best known for co-writing the film adaptation of the graphic novel "Watchmen."
-
C.
Norman Chan
Norman Chan is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
-
D.
Gerald Chan
Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
-
E.
Michael Chan
Michael Chan is a common personal name shared by multiple individuals across fields such as politics, business, and entertainment.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcab0a1c8190a1b0ca48ebc95b31 |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b69a7908190a53839f7ebfd011c |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:39 p.m.