Triple
T27039630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 马佳 |
E684450
|
entity |
| Predicate | surnameStructure |
P122278
|
FINISHED |
| Object | two-character surname |
—
|
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: two-character surname | Statement: [马佳, surnameStructure, two-character surname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surnameStructure Context triple: [马佳, surnameStructure, two-character surname]
-
A.
familyNamePattern
chosen
Indicates that there is a specific structural or formatting pattern that a family name (surname) follows.
-
B.
familyNameDerivedFrom
Indicates that one entity’s family name originates from, or is etymologically derived from, another entity.
-
C.
familyName
Indicates that one entity is the family (last) name associated with another entity (typically a person).
-
D.
surnamePortmanteauOf
Indicates that one surname is formed as a portmanteau by blending parts of two or more other surnames.
-
E.
familyNamePart
Indicates that one string is a component or segment of a person's full family name.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6226af8408190a9673ca09a5d4f87 |
completed | May 2, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:04 a.m.