Triple
T444103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl with a Pearl Earring |
E10178
|
entity |
| Predicate | estimatedYearOfCreation |
P13262
|
FINISHED |
| Object | between 1665 and 1667 |
—
|
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: between 1665 and 1667 | Statement: [Girl with a Pearl Earring, estimatedYearOfCreation, between 1665 and 1667]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedYearOfCreation Context triple: [Girl with a Pearl Earring, estimatedYearOfCreation, between 1665 and 1667]
-
A.
originYear
Indicates the year in which something first originated, was created, or began.
-
B.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
C.
commissionedYear
Indicates the year in which something (typically a work, project, or item) was formally ordered, authorized, or put into production.
-
D.
discoveryDate
Indicates the date on which something was first discovered or identified.
-
E.
reconstructionYear
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef459800819083cd9eef3e7b5295 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.