Triple
T3226804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 淵田 美津雄 |
E67642
|
entity |
| Predicate | 職業 |
P2374
|
FINISHED |
| Object | 海軍航空士官 |
—
|
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: 海軍航空士官 | Statement: [淵田 美津雄, 職業, 海軍航空士官]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 職業 Context triple: [淵田 美津雄, 職業, 海軍航空士官]
-
A.
subjectOccupation
chosen
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
-
B.
businessCareer
Indicates a relationship where an entity’s professional life, roles, or progression is specifically within the field of business or commerce.
-
C.
vocationType
Indicates the specific kind or category of occupation, profession, or calling associated with an entity.
-
D.
careerField
Indicates the professional domain or occupational area in which an entity works or specializes.
-
E.
recipientOccupation
Indicates that the object specifies the job, profession, or role held by the recipient in the described relationship or event.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb5e67c819082070d108d3613ba |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.