Triple
T4357630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Chan |
E98588
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Margaret Chan |
E98588
|
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: Margaret Chan | Statement: [Margaret Chan, name, Margaret Chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Chan Context triple: [Margaret Chan, name, Margaret Chan]
-
A.
Margaret Chan
chosen
Margaret Chan is a Chinese-Canadian physician and public health administrator best known for serving as Director-General of the World Health Organization from 2006 to 2017.
-
B.
Donald Tsang
Donald Tsang is a Hong Kong politician who served as the second Chief Executive of Hong Kong from 2005 to 2012.
-
C.
Chan Yik-shun
Chan Yik-shun is the birth name of Eason Chan, a highly acclaimed Hong Kong singer and actor regarded as one of the leading figures in contemporary Cantopop.
-
D.
Anita Chan
Anita Chan is a prominent scholar known for her influential research on Chinese labor issues and labor rights.
-
E.
Margaret Chung
Margaret Chung was a pioneering Chinese American physician and surgeon, widely regarded as the first Chinese American woman doctor in the United States and known for her influential role in supporting U.S. military personnel during World War II.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c7fa1881908bdc844a7142eb65 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb9b9988190adf8a84de3582ab6 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.