Triple
T4729143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitsuru |
E104959
|
entity |
| Predicate | hasNameElementType |
P59070
|
FINISHED |
| Object | personal name |
—
|
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: personal name | Statement: [Mitsuru, hasNameElementType, personal name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameElementType Context triple: [Mitsuru, hasNameElementType, personal name]
-
A.
hasTypeName
Indicates that an entity is associated with a specific type name used to classify or identify its kind.
-
B.
hasNameFunction
Indicates that an entity is associated with a function whose purpose is to provide or determine its name.
-
C.
hasTypeOfNames
Indicates that one entity possesses or is associated with a particular category or kind of names defined by another entity.
-
D.
hasComponentName
Indicates that an entity includes or is associated with a component identified by a specific name.
-
E.
hasGenericName
Indicates that an entity is associated with a non-brand, generic name that designates its general type or class.
- F. None of above. chosen
Provenance (4 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:19 p.m.