Triple
T6226245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomie Ohtake |
E139240
|
entity |
| Predicate | yearMovedToBrazil |
P16153
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Tomie Ohtake, yearMovedToBrazil, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearMovedToBrazil Context triple: [Tomie Ohtake, yearMovedToBrazil, 1936]
-
A.
arrivalDateInBrazil
Indicates the date on which an entity arrives or is scheduled to arrive in Brazil.
-
B.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
C.
yearDeclaredPatronSaintOfBrazil
Indicates the year in which a person was officially declared the patron saint of Brazil.
-
D.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
-
E.
settledInYear
chosen
Indicates the specific calendar year in which an entity became established, inhabited, or formally settled in a particular place or status.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d5403081908effc8330bda3f0a |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.