Triple
T27034496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ジョージタウン大学 |
E681015
|
entity |
| Predicate | 創設者 |
P104
|
FINISHED |
| Object |
ジョン・キャロル
ジョン・キャロルは、アメリカ合衆国初のカトリック司教として知られる聖職者であり、後にワシントンD.C.の名門私立大学となるジョージタウン大学の設立に中心的役割を果たした人物である。
|
E1752721
|
NE FINISHED |
How this triple was built (3 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: ジョン・キャロル | Statement: [ジョージタウン大学, 創設者, ジョン・キャロル]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ジョン・キャロル Triple: [ジョージタウン大学, 創設者, ジョン・キャロル]
Generated description
ジョン・キャロルは、アメリカ合衆国初のカトリック司教として知られる聖職者であり、後にワシントンD.C.の名門私立大学となるジョージタウン大学の設立に中心的役割を果たした人物である。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 創設者 Context triple: [ジョージタウン大学, 創設者, ジョン・キャロル]
-
A.
créateur
Indicates that an entity is the creator or originator of another entity.
-
B.
founder
chosen
Indicates that an entity established, created, or started another entity such as an organization, institution, or company.
-
C.
creatorOfSetting
Indicates that one entity is the originator or designer of the environment, context, or backdrop in which another entity exists or an event takes place.
-
D.
築城者
Indicates the agent or person responsible for constructing or building a castle or fortress.
-
E.
coCreator
Indicates that two or more entities jointly created or produced something together.
- F. None of above.
Provenance (6 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62266b8b48190a050b4953753e5a7 |
completed | May 2, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a123abe4f208190a817268173707c76 |
completed | May 23, 2026, 11:39 p.m. |
| NEDg | Description generation | batch_6a123b542138819086f001a5c2dcd76b |
completed | May 23, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a123bf987348190a7287af52012d32a |
completed | May 23, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 7:15 a.m.