Triple
T1338167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Watch Gallery |
E28402
|
entity |
| Predicate | mainArtworkCreationDate |
P6964
|
FINISHED |
| Object | 1642 (The Night Watch) |
—
|
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: 1642 (The Night Watch) | Statement: [Night Watch Gallery, mainArtworkCreationDate, 1642 (The Night Watch)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainArtworkCreationDate Context triple: [Night Watch Gallery, mainArtworkCreationDate, 1642 (The Night Watch)]
-
A.
artworkBy
Indicates that one entity is the creator or artist responsible for producing the other entity as an artwork.
-
B.
dateOfComposition
chosen
Indicates the calendar date or time period when a particular work was created or composed.
-
C.
inArtSince
Indicates that an entity has been involved or active in the field of art starting from a specified time.
-
D.
estimatedYearOfCreation
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
-
E.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2115d388190b031ae2de1296f8a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.