Triple
T28075996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huang Yueying |
E709542
|
entity |
| Predicate | nameWrittenInChineseCharacters |
P77948
|
FINISHED |
| Object | 黃月英 |
—
|
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: 黃月英 | Statement: [Huang Yueying, nameWrittenInChineseCharacters, 黃月英]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameWrittenInChineseCharacters Context triple: [Huang Yueying, nameWrittenInChineseCharacters, 黃月英]
-
A.
nameWrittenIn
chosen
Indicates that an entity’s name is written or recorded using a specified language, script, or writing system.
-
B.
nameInChinese
Indicates that an entity has a specific written name or label expressed in the Chinese language.
-
C.
nameInManchuScriptOf
Indicates that one entity is the representation of another entity’s name written in Manchu script.
-
D.
usedChineseCharacters
Indicates that one entity employed or wrote using Chinese characters in relation to another entity or context.
-
E.
nameLengthInKanji
Indicates the number of kanji characters used in an entity’s 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 8:49 p.m.