Triple
T13832149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What’s Up? |
E332424
|
entity |
| Predicate | decadeAssociation |
P7068
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [What’s Up?, decadeAssociation, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeAssociation Context triple: [What’s Up?, decadeAssociation, 1990s]
-
A.
decadeList
Indicates that an entity is associated with a list of decades, typically representing time periods relevant to that entity.
-
B.
decade
chosen
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
-
C.
decadeDefinition
Indicates that one entity specifies or defines the meaning, scope, or characteristics of a particular decade associated with another entity.
-
D.
decadeContext
Indicates that the relationship or fact is specifically situated within, or pertains to, a particular decade as its temporal context.
-
E.
associatedDecadeInPopCulture
Indicates the decade in popular culture with which an entity is most closely linked or commonly 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.