Triple
T21150189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 倪桂珍 |
E521166
|
entity |
| Predicate | 家庭角色 |
P8517
|
FINISHED |
| Object | 宋氏家族女主人 |
—
|
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: 宋氏家族女主人 | Statement: [倪桂珍, 家庭角色, 宋氏家族女主人]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 家庭角色 Context triple: [倪桂珍, 家庭角色, 宋氏家族女主人]
-
A.
familyOrganizerRole
Indicates the specific role or capacity an individual holds as the organizer or manager within a family group or household.
-
B.
familyAspect
chosen
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
C.
familyContext
Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
-
D.
familyType
Indicates the specific familial relationship or category that characterizes how the related entities are connected as family.
-
E.
familyDepiction
Indicates that one entity visually represents or portrays members of a family or familial relationships.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72400911c8190978e88138a9bfaff |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:58 p.m.