Triple
T1976643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 蔡崇信 |
E42929
|
entity |
| Predicate | 曾任职务 |
P1827
|
FINISHED |
| Object | 阿里巴巴集团执行副主席 |
—
|
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: 阿里巴巴集团执行副主席 | Statement: [蔡崇信, 曾任职务, 阿里巴巴集团执行副主席]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 曾任职务 Context triple: [蔡崇信, 曾任职务, 阿里巴巴集团执行副主席]
-
A.
officePreviouslyHeldBy
Indicates that a particular office or position was formerly occupied by a specified person or entity.
-
B.
describesOfficeHeld
Indicates that one entity specifies or characterizes the particular office or position held by another entity.
-
C.
servedAs
chosen
Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
-
D.
roleInCompanyHistory
Indicates that an entity held a specific role or position during a particular period or event in a company's history.
-
E.
hasHeldOfficeType
Indicates that an entity has at some time occupied or served in a specified type or category of office or position.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f9a87c8190816db3888787ad76 |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.