Triple
T20268645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary |
E499032
|
entity |
| Predicate | popularityPeakDecade |
P79180
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Gary, popularityPeakDecade, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularityPeakDecade Context triple: [Gary, popularityPeakDecade, 1950s]
-
A.
wasMostPopularInDecade
chosen
Indicates that something held the highest level of popularity among comparable items during a specified decade.
-
B.
associatedDecadeInPopCulture
Indicates the decade in popular culture with which an entity is most closely linked or commonly recognized.
-
C.
madeFamousInDecade
Indicates that something became widely known or gained significant public recognition during a specified decade.
-
D.
contributedToPopularityInDecade
Indicates that something played a role in increasing the popularity of another thing during a specific decade.
-
E.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dbb7ac8190a40c527f2c02ca50 |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:42 p.m.