Triple
T36570660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultimate 81 |
E902112
|
entity |
| Predicate | styleEra |
P18647
|
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: [Ultimate 81, styleEra, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleEra Context triple: [Ultimate 81, styleEra, 1980s]
-
A.
stylePeriod
chosen
Indicates the stylistic or historical period with which an entity (such as an artwork, artifact, or performance) is associated.
-
B.
styleComparedToAttitudeEra
Indicates how an entity’s style compares or relates to the characteristic style of the Attitude Era.
-
C.
hasEraTheme
Indicates that something is associated with, characterized by, or themed around a particular historical or cultural era.
-
D.
brandEra
Indicates the historical period or era during which a particular brand identity, style, or strategy is in effect.
-
E.
styleReminiscentOf
Indicates that one entity’s style closely recalls, echoes, or is strongly influenced by the style of another entity.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.