Triple
T30482215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naoshi Komi |
E775615
|
entity |
| Predicate | writesForDemographic |
P54225
|
FINISHED |
| Object | shōnen |
—
|
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: shōnen | Statement: [Naoshi Komi, writesForDemographic, shōnen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writesForDemographic Context triple: [Naoshi Komi, writesForDemographic, shōnen]
-
A.
writesForAudience
chosen
Indicates that an agent creates written content intended specifically for a particular audience or readership.
-
B.
writesForMedium
Indicates that one entity creates written content intended for publication on a particular medium or platform.
-
C.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
D.
willWrittenIn
Indicates that a legal will was authored, drafted, or formally written in a specified location or jurisdiction.
-
E.
involvesDemographic
Indicates that an action, event, or entity is related to, affects, or includes a specific demographic group or population segment.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68742cc6481908be525603fb6ba97 |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:12 p.m.