Triple
T35441117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoi Honō |
E1024340
|
entity |
| Predicate | focusesOnProfession |
P91665
|
FINISHED |
| Object | manga artist |
—
|
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: manga artist | Statement: [Aoi Honō, focusesOnProfession, manga artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnProfession Context triple: [Aoi Honō, focusesOnProfession, manga artist]
-
A.
vocationFocus
chosen
Indicates that an entity’s primary vocational attention, effort, or specialization is directed toward another entity or subject.
-
B.
basedOnProfession
Indicates that the relationship or action is determined or derived from a person’s profession or occupational role.
-
C.
occupationAspiration
Indicates a person's desired or intended future occupation or career goal.
-
D.
leftProfession
Indicates that an entity has stopped or abandoned a particular profession or occupation they previously held.
-
E.
dedicatedToOccupation
Indicates that an entity is committed or devoted to performing or pursuing a particular occupation or professional role.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 3, 2026, 4:04 p.m.