Triple
T19830664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radiator Building |
E476450
|
entity |
| Predicate | yearOfDepictionInOkeeffePainting |
P54917
|
FINISHED |
| Object | 1927 |
—
|
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: 1927 | Statement: [Radiator Building, yearOfDepictionInOkeeffePainting, 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfDepictionInOkeeffePainting Context triple: [Radiator Building, yearOfDepictionInOkeeffePainting, 1927]
-
A.
yearDepicted
chosen
Indicates the specific year in which the subject is portrayed, represented, or set.
-
B.
BlackPaintingsApproximateDateEnd
Indicates the approximate latest date or time period by which the creation of the Black Paintings is considered to have ended.
-
C.
paintedOn
Indicates that one entity has been applied as paint onto the surface of another entity.
-
D.
releaseYearOfDepiction
Indicates the year in which the depicted event, scene, or representation was released or first made publicly available.
-
E.
artworkInstallationYear
Indicates the year in which an artwork was installed or put in place at a particular location.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cd9b94819081a541bb6c5c2942 |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.