Triple
T25549159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epic Magazine |
E640389
|
entity |
| Predicate | hasAdaptationsIn |
P162590
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [Epic Magazine, hasAdaptationsIn, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdaptationsIn Context triple: [Epic Magazine, hasAdaptationsIn, television]
-
A.
hasAdaptationsOfWorksIn
Indicates that an entity includes or contains adaptations of works that originate from another specified entity or context.
-
B.
hasNotableAdaptationBy
Indicates that an original work has a significant adaptation created by the specified adapting entity (such as a person, group, or organization).
-
C.
adaptationIncludes
Indicates that an adaptation incorporates, contains, or makes use of a particular component, element, or feature as part of its adapted form.
-
D.
adaptedAs
Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
-
E.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f627ad6d4c81909796d39d78e414f9 |
completed | May 2, 2026, 4:34 p.m. |
Created at: April 21, 2026, 3:35 p.m.