Triple
T13822861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travels in Hyperreality |
E332177
|
entity |
| Predicate | literaryCriticismTarget |
P36841
|
FINISHED |
| Object | contemporary mass culture |
—
|
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: contemporary mass culture | Statement: [Travels in Hyperreality, literaryCriticismTarget, contemporary mass culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryCriticismTarget Context triple: [Travels in Hyperreality, literaryCriticismTarget, contemporary mass culture]
-
A.
literaryCriticismType
Indicates the specific kind or category of literary criticism applied to a work, author, or text.
-
B.
literarySubject
chosen
Indicates that one entity serves as the subject, topic, or focus of a literary work created by another entity.
-
C.
literaryCritic
Indicates a relationship where one entity evaluates, analyzes, or interprets the literary works or writings of another entity.
-
D.
literaryCenter
Indicates that a location functions as a primary hub or focal point for literary activity, such as writing, publishing, or literary culture.
-
E.
inLiterature
Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0284428081908043c55caeefb833 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.