Triple
T28904866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London, Airstrip One |
E733043
|
entity |
| Predicate | mediaControlInFiction |
P14447
|
FINISHED |
| Object | complete state monopoly |
—
|
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: complete state monopoly | Statement: [London, Airstrip One, mediaControlInFiction, complete state monopoly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaControlInFiction Context triple: [London, Airstrip One, mediaControlInFiction, complete state monopoly]
-
A.
mediaControl
chosen
Indicates a relationship where one entity directs, regulates, or influences the creation, distribution, or content of media controlled by another entity.
-
B.
controlMedium
Indicates that an entity regulates, directs, or influences another entity through a particular medium or channel.
-
C.
mediaControlProtocol
Indicates a protocol or method used to control the playback, routing, or management of media content between devices or systems.
-
D.
fictionalMedium
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
-
E.
mediaConsumption
Indicates the act or pattern of engaging with, using, or experiencing media content (such as watching, listening, or reading).
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 8:06 a.m.