Triple
T15651885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of a Young Man (Karel Dujardin) |
E376331
|
entity |
| Predicate | painterLifeSpan |
P27074
|
FINISHED |
| Object | 1626–1678 |
—
|
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: 1626–1678 | Statement: [Portrait of a Young Man (Karel Dujardin), painterLifeSpan, 1626–1678]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: painterLifeSpan Context triple: [Portrait of a Young Man (Karel Dujardin), painterLifeSpan, 1626–1678]
-
A.
painter
Indicates that one entity creates paintings of, or is responsible for painting, another entity.
-
B.
creatorLifespan
chosen
Indicates the time period between the birth and death of the creator associated with an entity.
-
C.
depictsLifePeriod
Indicates that one entity visually represents or portrays a specific period or phase in the life of another entity.
-
D.
masterPainter
Indicates that one entity is recognized as a highly skilled, authoritative painter in relation to another or within a given context.
-
E.
lifespanType
Indicates the type or category of lifespan associated with an entity, such as whether it is finite, indefinite, or of a particular defined duration.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.