Triple
T27971596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 君實 |
E706371
|
entity |
| Predicate | isCourtesyNameOf |
P163584
|
FINISHED |
| Object | 司馬光 |
—
|
NE NERFINISHED |
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: 司馬光 | Statement: [君實, isCourtesyNameOf, 司馬光]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCourtesyNameOf Context triple: [君實, isCourtesyNameOf, 司馬光]
-
A.
isTradeNameOf
Indicates that one name is a commercial or brand designation used for a product, substance, or entity that may also have a different generic or formal name.
-
B.
isPersonalName
Indicates that the value is a personal name identifying an individual person.
-
C.
isPersonalNameIn
Indicates that a personal name appears within or is contained in a specified context, such as a document, text span, or dataset.
-
D.
isRelatedName
Indicates that one name is connected to another through a variant, derivative, or otherwise non-identical but related naming relationship.
-
E.
isGivenName
Indicates that one entity is the personal (given) name of another entity.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b35bb9481908428cfa2abfab540 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 7:38 p.m.