Triple
T1454422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuy |
E31365
|
entity |
| Predicate | nameComponentType |
P6678
|
FINISHED |
| Object | given name component |
—
|
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: given name component | Statement: [Thuy, nameComponentType, given name component]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameComponentType Context triple: [Thuy, nameComponentType, given name component]
-
A.
nameType
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
-
B.
componentType
chosen
Indicates that one entity specifies or classifies the kind or category of component that another entity represents or uses.
-
C.
nameOf
Indicates that one entity is the name or designation of another entity.
-
D.
nameElement
Indicates that one entity serves as the name or label assigned to another entity or element.
-
E.
nameElements
Indicates that an entity assigns or specifies the names of multiple elements within a set or structure.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57fead881909a47188ce7312406 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47cdbd0819092022344a2f4ad7b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.