Triple
T15032367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPP |
E378383
|
entity |
| Predicate | mediumOrigin |
P16967
|
FINISHED |
| Object | British radio comedy |
—
|
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: British radio comedy | Statement: [GPP, mediumOrigin, British radio comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOrigin Context triple: [GPP, mediumOrigin, British radio comedy]
-
A.
mediumOfOrigin
chosen
Indicates the original physical or digital medium from which an item, work, or data was derived or obtained.
-
B.
mediumIncludes
Indicates that a given medium contains, encompasses, or incorporates another item, component, or element within it.
-
C.
mediumCategory
Indicates the classification of an item or content according to the type or form of medium it belongs to (e.g., print, digital, audio, video).
-
D.
medium
Indicates that an entity serves as the means, channel, or intermediary through which an action, communication, or effect is carried out between other entities.
-
E.
traditionalOrigin
Indicates that something comes from, or is rooted in, a long-established cultural or customary source or practice.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.