Triple
T34547115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polaroid photography |
E886955
|
entity |
| Predicate | firstConsumerIntroductionYear |
—
|
GENERATED |
| Object | 1948 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstConsumerIntroductionYear Context triple: [Polaroid photography, firstConsumerIntroductionYear, 1948]
-
A.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
B.
firstCompleterYear
Indicates the calendar or academic year in which an entity first completed a specified program, requirement, or activity.
-
C.
firstArrivalYear
Indicates the calendar year in which an entity first arrived at or was initially present in a specified place or context.
-
D.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
E.
firstReviewYear
Indicates the calendar year in which an entity received its first review.
- F. None of above. chosen
Provenance (1 batch)
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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:02 a.m.