Triple
T16322901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Nation Under CCTV |
E396341
|
entity |
| Predicate | creatorAnonymity |
P13269
|
FINISHED |
| Object | anonymous artist |
—
|
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: anonymous artist | Statement: [One Nation Under CCTV, creatorAnonymity, anonymous artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorAnonymity Context triple: [One Nation Under CCTV, creatorAnonymity, anonymous artist]
-
A.
creatorType
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
-
B.
pseudonymousProducerIs
Indicates that one entity is the pseudonymous producer (creator operating under a pseudonym) of another entity.
-
C.
pseudonymousAttribution
Indicates that an action, work, or statement is attributed to an entity using a pseudonym rather than their real identity.
-
D.
creatorAlias
Indicates that an alternative or secondary name is used to refer to the creator of an entity.
-
E.
publishedAnonymously
chosen
Indicates that a work was made public without revealing the identity of its creator or author.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b82fe88190a448597b7827f859 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.