Triple
T17071250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Moses |
E414225
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | China Moses |
E414225
|
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: China Moses | Statement: [China Moses, name, China Moses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Moses Context triple: [China Moses, name, China Moses]
-
A.
China Moses
chosen
China Moses is an American-born jazz and soul singer, television host, and producer known for her rich vocals and work bridging classic jazz with contemporary styles.
-
B.
Moses ǁGaroëb
Moses ǁGaroëb was a prominent Namibian politician and anti-apartheid activist who played a key role in the country’s struggle for independence.
-
C.
Moses the Black
Moses the Black was a 4th-century Ethiopian desert monk and former bandit who became a renowned Christian ascetic and saint among the Desert Fathers.
-
D.
Moses Blah
Moses Blah was a Liberian politician and former vice president who briefly served as Liberia’s president in 2003 during the turbulent final phase of the Second Liberian Civil War.
-
E.
Moses Pray
Moses Pray is a charmingly roguish Bible salesman and con man who becomes the reluctant guardian and partner-in-crime of a young girl in the film and novel "Paper Moon."
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc0982c8190916f9905ddb5e575 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012edbce988190a784448ba8a258a5 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.