Triple
T16138659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tongzhi Emperor |
E391595
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zaichun |
E1195515
|
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: Zaichun | Statement: [Tongzhi Emperor, givenName, Zaichun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaichun Context triple: [Tongzhi Emperor, givenName, Zaichun]
-
A.
Zaichun
chosen
Zaichun was the personal name of the Tongzhi Emperor, a Qing dynasty ruler of China who reigned briefly in the late 19th century.
-
B.
Qinghe
Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
-
C.
Chunjie
Chunjie is the Chinese Spring Festival, the most important traditional holiday in China marking the Lunar New Year with family reunions, feasts, and cultural celebrations.
-
D.
Qichao
Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
-
E.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a06e0988190b5cd62d422d058a2 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a304348190bf471f2b9279b806 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.