Triple
T16543184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 四人帮 |
E401871
|
entity |
| Predicate | 权力高峰时期职务 |
P123975
|
FINISHED |
| Object | 王洪文任中共中央副主席 |
—
|
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: 王洪文任中共中央副主席 | Statement: [四人帮, 权力高峰时期职务, 王洪文任中共中央副主席]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 权力高峰时期职务 Context triple: [四人帮, 权力高峰时期职务, 王洪文任中共中央副主席]
-
A.
periodOfKeyPoliticalRole
Indicates the time span during which an entity held a particular key political role or office.
-
B.
governmentTypeDuringPeak
Indicates the form of government that characterized an entity during its period of greatest prominence or influence.
-
C.
前職（首相直前）
Indicates the position or role a person held immediately before becoming prime minister.
-
D.
officeHolderRankSometimes
Indicates that an office holder’s rank or level within a position can vary or apply only in certain situations or periods.
-
E.
timeInOfficeCharacteristic
Indicates a characteristic or attribute specifically related to the duration or period an entity spends in office or in a particular official role.
- F. None of above. chosen
Provenance (4 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455fab34819086c77ff45b85f5db |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.