Triple
T36453781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 彭湃 |
E898095
|
entity |
| Predicate | 重要职务 |
P122807
|
FINISHED |
| Object | 中共中央农民运动委员会委员 |
—
|
LITERAL 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: 中共中央农民运动委员会委员 | Statement: [彭湃, 重要职务, 中共中央农民运动委员会委员]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 重要职务 Context triple: [彭湃, 重要职务, 中共中央农民运动委员会委员]
-
A.
重要同僚
Indicates a relationship where someone is considered an important colleague, implying significant professional relevance, influence, or collaboration between them.
-
B.
权力高峰时期职务
Indicates the position or office a person held during the peak period of their power or influence.
-
C.
官位
Indicates a relationship where an entity holds or is associated with a particular official rank or governmental position.
-
D.
担当大臣
Indicates that a person serves as the cabinet minister responsible for a particular policy area or administrative domain.
-
E.
importantOffice
chosen
Indicates that an entity holds or is associated with a position or office considered significant or high in importance within a given context.
- F. None of above.
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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.