Triple
T24043502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makoto |
E595452
|
entity |
| Predicate | isTranscriptionSystem |
P154641
|
FINISHED |
| Object | Hepburn romanization |
—
|
NE NERFINISHED |
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: Hepburn romanization | Statement: [Makoto, isTranscriptionSystem, Hepburn romanization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTranscriptionSystem Context triple: [Makoto, isTranscriptionSystem, Hepburn romanization]
-
A.
isTranscriptionOf
Indicates that one entity is a written, typed, or otherwise recorded representation of the content of another entity, preserving its original form as closely as possible.
-
B.
alsoTranscribes
Indicates that an entity, in addition to its primary transcription role, transcribes another specified entity as well.
-
C.
isTranscribedIn
Indicates that the genetic information of an entity (such as a gene or DNA region) is copied into an RNA molecule within a specified context (such as a cell type, tissue, or condition).
-
D.
isSpoken
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
-
E.
transcriptAvailable
Indicates that a transcript of the referenced content is available for access or use.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8db3b4c81908a36eace8ec136cc |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:04 p.m.