Triple
T8308622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandeep Das |
E194528
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Wu Man |
E175097
|
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 Man | Statement: [Sandeep Das, collaboratedWith, Wu Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wu Man Context triple: [Sandeep Das, collaboratedWith, Wu Man]
-
A.
Wu Man
chosen
Wu Man is a renowned Chinese pipa virtuoso and composer known for her innovative performances and collaborations that bring traditional Chinese music to global audiences.
-
B.
Wang Yuja
Wang Yuja is a renowned Chinese classical pianist celebrated internationally for her virtuosic technique and dynamic, expressive performances.
-
C.
Wang Jingjiu
Wang Jingjiu was a Chinese military officer best known for commanding the National Revolutionary Army’s 87th Division during the Republican era.
-
D.
Song Renqiong
Song Renqiong was a prominent Chinese Communist revolutionary and senior military and political leader who played key roles in the Chinese Civil War and the early decades of the People's Republic of China.
-
E.
Wu Min
Wu Min is a Chinese personal name shared by multiple individuals across fields such as sports, academia, and public life.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2c06608190bd21633af07a530b |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd955bd69081909d669139c576efb8 |
completed | April 1, 2026, 9:59 p.m. |
Created at: March 30, 2026, 5:54 p.m.