Triple
T19208500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frans Hals’s oeuvre |
E480296
|
entity |
| Predicate | earlyPeriodCharacteristic |
P114334
|
FINISHED |
| Object | bright palette |
—
|
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: bright palette | Statement: [Frans Hals’s oeuvre, earlyPeriodCharacteristic, bright palette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyPeriodCharacteristic Context triple: [Frans Hals’s oeuvre, earlyPeriodCharacteristic, bright palette]
-
A.
periodCharacterizedBy
chosen
Indicates that a specific time period is defined or distinguished by a particular characteristic, condition, or feature.
-
B.
earliestKnownPeriod
Indicates the earliest historical or temporal period in which the subject is known or documented to have existed, occurred, or been relevant.
-
C.
primaryCharacteristics
Indicates the main defining traits or features that most fundamentally characterize an entity.
-
D.
earlyUse
Indicates that an entity is used or adopted at an unusually early time or stage relative to a typical or expected point of use.
-
E.
initialCharacterization
Indicates the first or earliest formal description, assessment, or classification made about an entity or situation.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f9a000188190afb762ea24bc3deb |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:20 p.m.