Triple
T985847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mambo! |
E21277
|
entity |
| Predicate | recordingEra |
P22765
|
FINISHED |
| Object | mid-20th century |
—
|
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: mid-20th century | Statement: [Mambo!, recordingEra, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingEra Context triple: [Mambo!, recordingEra, mid-20th century]
-
A.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
B.
recordingYear
Indicates the specific calendar year in which something (such as audio, video, or data) was recorded.
-
C.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
-
D.
originalRunEra
Indicates the time period or era during which something (such as a show, series, or product) was first originally run or released.
-
E.
historicalEraUsheredIn
Indicates the historical era or period that was initiated or brought about as a result of a particular event, action, or entity.
- F. None of above. chosen
Provenance (4 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b496b7308190a9c201244330b784 |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2abccbc8190a83af432f89eacf5 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.