Triple
T23763704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chengjing zhidao chuncheng zhengde hongren qinmin xianhuangdi |
E587318
|
entity |
| Predicate | associatedPersonalName |
P112539
|
FINISHED |
| Object | Mianning |
—
|
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: Mianning | Statement: [Chengjing zhidao chuncheng zhengde hongren qinmin xianhuangdi, associatedPersonalName, Mianning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPersonalName Context triple: [Chengjing zhidao chuncheng zhengde hongren qinmin xianhuangdi, associatedPersonalName, Mianning]
-
A.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
B.
namedPersonAssociation
chosen
Indicates a relationship where one entity is associated with or identified by a specific personal name.
-
C.
associatedSurname
Indicates that one entity has a surname that is linked or connected to another entity, such as a person, family, or name record.
-
D.
peopleAssociatedWith
Indicates that there exists some form of connection, involvement, or relationship between the referenced people.
-
E.
associatedPersonField
Indicates that there is a person linked or connected to the subject in a relevant or contextual way.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb40ee881908f3916cc6d05fc72 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.