Triple
T1976664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 蔡崇信 |
E42929
|
entity |
| Predicate | 与组织的关系 |
P10218
|
FINISHED |
| Object | 阿里巴巴集团联合创始人 |
—
|
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: 阿里巴巴集团联合创始人 | Statement: [蔡崇信, 与组织的关系, 阿里巴巴集团联合创始人]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 与组织的关系 Context triple: [蔡崇信, 与组织的关系, 阿里巴巴集团联合创始人]
-
A.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
leftOrganization
Indicates that an entity has departed from or is no longer affiliated with a particular organization.
-
C.
organizationLed
Indicates that one organization provides leadership, direction, or governance over another organization or collective effort.
-
D.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
E.
subjectOrganization
chosen
Indicates that one entity serves as the organization to which another entity (such as a person, work, or activity) is affiliated or belongs.
- 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.