Triple
T20939943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mao Anqing |
E515691
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Mao Zedong |
—
|
NE NERFINISHED |
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 Zedong | Statement: [Mao Anqing, childOf, Mao Zedong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mao Zedong Context triple: [Mao Anqing, childOf, Mao Zedong]
-
A.
Mao Zedong
chosen
Mao Zedong was the founding father of the People's Republic of China and the leader of the Chinese Communist Party whose political, military, and ideological leadership reshaped 20th-century China.
-
B.
Mao
Mao is an Omotic language spoken in southwestern Ethiopia, known for its complex tonal system and classification within the Afroasiatic language family.
-
C.
Mao
Mao is a common Chinese surname borne by numerous historical and contemporary figures across politics, culture, and society.
-
D.
Mao
Mao is a principal urban center in the Cibao region of the Dominican Republic, known for its agricultural production and regional economic importance.
-
E.
Mao Zejian
Mao Zejian was a lesser-known member of the Mao family who was involved in early Chinese revolutionary activities and was executed at a young age.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f954e44481909098a0b23a687d5e |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.