Triple
T23140824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Glass Teat |
E577452
|
entity |
| Predicate | mediumCritiqued |
P151067
|
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: [The Glass Teat, mediumCritiqued, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumCritiqued Context triple: [The Glass Teat, mediumCritiqued, television]
-
A.
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.
-
B.
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).
-
C.
mediumRecognized
Indicates that a medium (such as a channel, format, or communication method) has been identified and acknowledged as valid or known within a given context.
-
D.
usedToCritique
Indicates that something is employed as a means to analyze, evaluate, or express disapproval of something else.
-
E.
mediumAdaptedTo
Indicates that a medium (such as a format, channel, or platform) has been specifically adjusted or tailored to suit a particular use, context, or target.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ec922b481908084eee6a95aef83 |
completed | April 29, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4 p.m.