Triple
T35836644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 吳彥祖 |
E1035956
|
entity |
| Predicate | 文化身份 |
P122854
|
FINISHED |
| Object | 美籍華人影星 |
—
|
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: 美籍華人影星 | Statement: [吳彥祖, 文化身份, 美籍華人影星]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 文化身份 Context triple: [吳彥祖, 文化身份, 美籍華人影星]
-
A.
culturalIdentifier
chosen
Indicates that one entity serves as a marker, label, or attribute that identifies or characterizes the cultural affiliation, background, or context of another entity.
-
B.
exploresCulturalIdentity
Indicates an action or process in which an entity examines, reflects on, or investigates aspects of cultural identity and how they shape experiences or expressions.
-
C.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
D.
culturalIdentityTiedTo
Indicates that an entity’s cultural identity is closely connected or strongly associated with another specified entity or context.
-
E.
hasAuthorCulturalIdentity
Indicates that an author is associated with a particular cultural identity or background.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.