Triple
T14330604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unpainted Pictures series |
E355335
|
entity |
| Predicate | productionPeriodStartApprox |
P13193
|
FINISHED |
| Object | 1938 |
—
|
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: 1938 | Statement: [Unpainted Pictures series, productionPeriodStartApprox, 1938]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionPeriodStartApprox Context triple: [Unpainted Pictures series, productionPeriodStartApprox, 1938]
-
A.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
-
B.
approximateStartYear
chosen
Indicates that the associated year value represents an estimated or imprecise starting year for an event, state, or relationship rather than an exact one.
-
C.
productionYears
Indicates the span of calendar years during which something was produced or manufactured.
-
D.
typicalStartYear
Indicates the year in which something (such as an event, activity, or process) usually or customarily begins.
-
E.
approximatePremiereYear
Indicates the estimated calendar year in which something, typically a work or event, first premiered.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.