Triple
T6226246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomie Ohtake |
E139240
|
entity |
| Predicate | startedPainting |
P69015
|
FINISHED |
| Object | around 1950 |
—
|
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: around 1950 | Statement: [Tomie Ohtake, startedPainting, around 1950]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedPainting Context triple: [Tomie Ohtake, startedPainting, around 1950]
-
A.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
-
B.
paintedEvery
Indicates that an entity applied paint to each and every relevant item in a specified set or domain.
-
C.
masterPainter
Indicates that one entity is recognized as a highly skilled, authoritative painter in relation to another or within a given context.
-
D.
startedMusicalActivity
Indicates that an entity began engaging in a musical activity or practice at a particular point in time.
-
E.
startedRacing
Indicates that an entity began participating in a racing activity or competition, marking the initiation of its involvement in racing.
- 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_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. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:22 p.m.