Triple
T10182334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Spring Rice |
E236817
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Spring Rice |
E236015
|
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: Spring Rice | Statement: [Cecil Spring Rice, familyName, Spring Rice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spring Rice Context triple: [Cecil Spring Rice, familyName, Spring Rice]
-
A.
Rice
chosen
Rice is a common English surname borne by various notable individuals across politics, sports, and entertainment.
-
B.
Miracle Rice
Miracle Rice is a high-yield, semi-dwarf rice variety developed during the Green Revolution that dramatically increased rice production and helped alleviate food shortages in Asia.
-
C.
Shiso
Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
-
D.
Soba
Soba was the medieval capital city of the Nubian kingdom of Alodia, a major Christian state in what is now Sudan.
-
E.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded32b91c8190b01ad37b2456080a |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3013f0c54819092ee9c2c46fdf69e |
completed | April 6, 2026, 12:41 a.m. |
Created at: March 30, 2026, 9:12 p.m.