Triple
T24076945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple TV Channels |
E596390
|
entity |
| Predicate | trialPolicy |
P154762
|
FINISHED |
| Object | some channels offer free trial periods |
—
|
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: some channels offer free trial periods | Statement: [Apple TV Channels, trialPolicy, some channels offer free trial periods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trialPolicy Context triple: [Apple TV Channels, trialPolicy, some channels offer free trial periods]
-
A.
trackingPolicy
Indicates a relationship where one party defines or applies rules governing how another party’s activities, data, or movements are monitored and recorded.
-
B.
trailUsePolicy
Indicates the rules or guidelines governing how a trail may be accessed and used.
-
C.
trialAfter
Indicates that one trial or legal proceeding occurs subsequent to another in time or sequence.
-
D.
establishedPolicy
Indicates that a policy has been formally created, adopted, and put into effect as a guiding rule or standard.
-
E.
laterPolicy
Indicates that one policy occurs or becomes effective after another policy in time.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1e959c81909f4365b5d7f934d9 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:42 p.m.