Triple
T21150173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 倪桂珍 |
E521166
|
entity |
| Predicate | 出身家族 |
P126313
|
FINISHED |
| Object | 上海知名望族 |
—
|
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: 上海知名望族 | Statement: [倪桂珍, 出身家族, 上海知名望族]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 出身家族 Context triple: [倪桂珍, 出身家族, 上海知名望族]
-
A.
出身藩
Indicates the feudal domain or clan from which a person originates or is affiliated.
-
B.
家系・出自
chosen
Indicates a familial or ancestral relationship, specifying that one entity originates from, belongs to, or is derived from the family line or lineage of another.
-
C.
familyBackgroundDetail
Indicates detailed information about an entity’s family background, such as lineage, upbringing, or familial circumstances.
-
D.
hasFamilyBackgroundIn
Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
-
E.
身分
Indicates a relationship where an entity holds a particular social, legal, or role-based status or identity in relation to a group, institution, or context.
- 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.