Triple
T20282512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhihong |
E503184
|
entity |
| Predicate | hasNameOrderContext |
P28784
|
FINISHED |
| Object | follows family name in Chinese naming order |
—
|
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: follows family name in Chinese naming order | Statement: [Zhihong, hasNameOrderContext, follows family name in Chinese naming order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameOrderContext Context triple: [Zhihong, hasNameOrderContext, follows family name in Chinese naming order]
-
A.
hasNameOrder
chosen
Indicates the specific sequence or arrangement in which the components of a name (e.g., given name, family name, titles) are ordered.
-
B.
establishedInOrderContext
Indicates that something was created, initiated, or set up specifically within the framework or circumstances of a particular order or ordering process.
-
C.
hasCurrentNameContext
Indicates that an entity is associated with the name it currently uses or is recognized by in the present context.
-
D.
hasTextOrder
Indicates that there is a specified sequence or ordering of text elements relative to one another.
-
E.
hasNameDayContext
Indicates that an entity’s name day is interpreted or celebrated within a specific contextual framework (such as culture, calendar system, or tradition).
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768f86448190842389a98b93a918 |
completed | April 20, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 10:40 a.m.