Triple
T13588176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanbao |
E324623
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Ma He |
E708801
|
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: Ma He | Statement: [Sanbao, birthName, Ma He]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ma He Context triple: [Sanbao, birthName, Ma He]
-
A.
Ma He
chosen
Ma He was the birth name of the famed Ming dynasty admiral and explorer Zheng He, who led China’s great maritime expeditions in the early 15th century.
-
B.
He Zun
He Zun is an ancient Western Zhou bronze ritual vessel renowned for bearing one of the earliest known inscriptions of the name “China” (Zhongguo).
-
C.
Fan Ju
Fan Ju was an influential Warring States–period strategist and statesman who helped transform the Qin state into a dominant power through his diplomatic and political reforms.
-
D.
Han Lue
Han Lue is a laid-back, skilled street racer and heist crew member in the Fast & Furious franchise, known for his calm demeanor, drifting talent, and constant snacking.
-
E.
Min Bei
Min Bei is a major northern branch of the Min group of Sinitic (Chinese) languages, spoken primarily in parts of Fujian province in southeastern China.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb054c6008190839384ce26e8f71a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8deae88190b932a57789c70e77 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.