Triple
T35453391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeshi Nakamura |
E1024699
|
entity |
| Predicate | hasPossibleScript |
P110124
|
FINISHED |
| Object | Kanji |
—
|
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: Kanji | Statement: [Takeshi Nakamura, hasPossibleScript, Kanji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossibleScript Context triple: [Takeshi Nakamura, hasPossibleScript, Kanji]
-
A.
containsScript
Indicates that one entity includes or embeds the script of another entity within it.
-
B.
hasScriptBy
Indicates that one entity has its script authored, written, or created by another entity.
-
C.
hasNotableScript
Indicates that an entity is associated with a script (such as a writing system or screenplay) that is considered notable or significant.
-
D.
canBeScripted
Indicates that the action or behavior can be defined, controlled, or automated through a script or scripting mechanism.
-
E.
hasScriptCode
chosen
Indicates that an entity is associated with a particular writing system identified by a specific script code.
- 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:04 p.m.