Triple
T37680544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tada |
E938216
|
entity |
| Predicate | isNameElementOfType |
P59070
|
FINISHED |
| Object | Japanese masculine name element |
—
|
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: Japanese masculine name element | Statement: [Tada, isNameElementOfType, Japanese masculine name element]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNameElementOfType Context triple: [Tada, isNameElementOfType, Japanese masculine name element]
-
A.
hasNameElementType
chosen
Indicates that something includes a specific type or category of element within its name.
-
B.
hasElementName
Indicates that an entity is associated with, or identified by, a specific element name.
-
C.
hasElementType
Indicates that something is composed of or contains elements that are of a specified type.
-
D.
hasTypeName
Indicates that an entity is associated with a specific type name used to classify or identify its kind.
-
E.
basedOnElementName
Indicates that one entity is derived from, determined by, or otherwise depends on the name of another element.
- 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.