Triple
T31531303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surprise Surprise |
E804486
|
entity |
| Predicate | revivalRunDecade |
P100682
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [Surprise Surprise, revivalRunDecade, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revivalRunDecade Context triple: [Surprise Surprise, revivalRunDecade, 2010s]
-
A.
revivedInDecade
chosen
Indicates that an entity was brought back into use, popularity, or active existence during a specified decade.
-
B.
restoredInDecade
Indicates that an entity was restored or brought back to a prior or improved condition during a specified decade.
-
C.
revivalYear
Indicates the year in which something (such as a work, practice, or institution) was brought back into active use or renewed after a period of decline or inactivity.
-
D.
redevelopedInDecade
Indicates that an entity was redeveloped during a specified 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 10:01 p.m.