Triple
T34547141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polaroid photography |
E886955
|
entity |
| Predicate | declinedInPopularityDuring |
P109921
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [Polaroid photography, declinedInPopularityDuring, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: declinedInPopularityDuring Context triple: [Polaroid photography, declinedInPopularityDuring, early 2000s]
-
A.
declinedInPopularity
chosen
Indicates that something has become less popular or less favored over a period of time.
-
B.
declineIn
Indicates a relationship where one entity experiences a decrease or reduction in the level, amount, or intensity of another entity over time.
-
C.
declineBeganInDecade
Indicates that the period of decline for an entity or phenomenon started during the specified decade.
-
D.
decliningAs
Indicates that one entity is decreasing in value, intensity, or importance relative to another over time.
-
E.
declineAfter
Indicates that one entity or value decreases or worsens following another specified event, condition, or point in time.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72022cc348190a5a2e9aae263b638 |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.