Triple
T13872598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Minxia |
E333491
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wu Minxia |
E333491
|
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: Wu Minxia | Statement: [Wu Minxia, name, Wu Minxia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wu Minxia Context triple: [Wu Minxia, name, Wu Minxia]
-
A.
Wu Minxia
chosen
Wu Minxia is a Chinese diver and multiple Olympic gold medalist renowned for her dominance in synchronized and springboard diving events.
-
B.
Chen Xiangmei
Chen Xiangmei, better known as Anna Chennault, was a prominent Chinese-American journalist, Republican political operative, and influential figure in U.S.–China relations during the Cold War.
-
C.
Guo Jingjing
Guo Jingjing is a retired Chinese diver, widely regarded as one of the greatest female springboard divers in history and a multiple Olympic and world champion.
-
D.
Chen Lu
Chen Lu is a Chinese figure skater renowned as one of the sport’s early stars from China, celebrated for her artistic style and historic World and Olympic medals in the 1990s.
-
E.
Qu Yunxia
Qu Yunxia is a former Chinese middle-distance runner best known for setting a long-standing world record in the women's 1500 meters in the early 1990s.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.