Triple
T15374002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chenghua Emperor |
E367619
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Mao Ling |
E367620
|
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: Mao Ling | Statement: [Chenghua Emperor, burialPlace, Mao Ling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mao Ling Context triple: [Chenghua Emperor, burialPlace, Mao Ling]
-
A.
Mao Ling
chosen
Mao Ling is the mausoleum complex that serves as the imperial tomb of the Ming dynasty Chenghua Emperor in China.
-
B.
Ma Sichun
Ma Sichun is a Chinese actress known for her acclaimed film and television roles, including winning the Golden Horse Award for Best Leading Actress.
-
C.
Shaozong
Shaozong is the posthumous temple name of the Longwu Emperor, a short-lived Ming dynasty claimant who resisted the Qing conquest in southern China.
-
D.
Pan Yunduan
Pan Yunduan was a Ming dynasty official best known for commissioning and building Shanghai’s famous Yu Garden as a private retreat for his family.
-
E.
Ko Sichang
Ko Sichang is a small island in the Gulf of Thailand known for its relaxed atmosphere, historic royal sites, and scenic coastal views.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5d6f808190b0a4cdb35dc89e69 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5502508190bd39b6d81ee57cc0 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.