Triple
T12054769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 南开大学 |
E287010
|
entity |
| Predicate | 创办者 |
P104
|
FINISHED |
| Object | 张伯苓 |
—
|
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: 张伯苓 | Statement: [南开大学, 创办者, 张伯苓]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 创办者 Context triple: [南开大学, 创办者, 张伯苓]
-
A.
currentFounder
Indicates that an entity is a present, active founder of another entity (such as an organization or company).
-
B.
founder
chosen
Indicates that an entity established, created, or started another entity such as an organization, institution, or company.
-
C.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
D.
founderRole
Indicates that an entity serves as a founder in relation to another entity, specifying the role or capacity in which they established it.
-
E.
wasFoundedBy
Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.