Triple
T21449562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Groovy Kind of Love |
E529170
|
entity |
| Predicate | notableDecadeOfRenewedPopularity |
P100682
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [A Groovy Kind of Love, notableDecadeOfRenewedPopularity, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDecadeOfRenewedPopularity Context triple: [A Groovy Kind of Love, notableDecadeOfRenewedPopularity, 1980s]
-
A.
decadeOfPopularization
Indicates the decade during which something became widely known, used, or popular.
-
B.
rediscoveredInDecade
Indicates that something which was previously known but lost, forgotten, or overlooked was found or brought back into recognition during a specified decade.
-
C.
revivedInDecade
chosen
Indicates that an entity was brought back into use, popularity, or active existence during a specified decade.
-
D.
restoredInDecade
Indicates that an entity was restored or brought back to a prior or improved condition during a specified decade.
-
E.
notablePopularityPeriod
Indicates the time span during which something was especially popular or widely recognized.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:06 p.m.