Triple
T923253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turner Broadcasting System |
E19927
|
entity |
| Predicate | keyActivity |
P8834
|
FINISHED |
| Object | cable network operation |
—
|
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: cable network operation | Statement: [Turner Broadcasting System, keyActivity, cable network operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyActivity Context triple: [Turner Broadcasting System, keyActivity, cable network operation]
-
A.
peakActivity
Indicates that an entity is at its highest or most intense level of activity within a given period or context.
-
B.
keyFeature
Indicates that something is a primary, distinguishing, or most important feature of an entity.
-
C.
keyExercise
Indicates that an exercise is a primary or essential component within a larger training, practice, or instructional context.
-
D.
activityType
chosen
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
E.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b314f6fc81908a3ccc2e741e3c2b |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.