Triple
T10207222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. and Mrs. Cugat, the Record of a Happy Marriage |
E242229
|
entity |
| Predicate | adaptationTypeInspired |
P89314
|
FINISHED |
| Object | radio series |
—
|
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: radio series | Statement: [Mr. and Mrs. Cugat, the Record of a Happy Marriage, adaptationTypeInspired, radio series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationTypeInspired Context triple: [Mr. and Mrs. Cugat, the Record of a Happy Marriage, adaptationTypeInspired, radio series]
-
A.
inspiredAdaptationElement
Indicates that one element in an adaptation is creatively derived from, influenced by, or modeled after another source element.
-
B.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
-
C.
adaptationIn
Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
-
D.
adaptationBy
Indicates a relationship where one entity has been modified, transformed, or reworked by another entity into a new form or version.
-
E.
inspiredLaterAdaptation
chosen
Indicates that one work or creation served as the creative basis or motivation for a later adaptation of it.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 10:55 a.m.