Triple
T32401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manufacturing Consent: The Political Economy of the Mass Media |
E646
|
entity |
| Predicate | firstEditionFormat |
P130
|
FINISHED |
| Object | hardcover |
—
|
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: hardcover | Statement: [Manufacturing Consent: The Political Economy of the Mass Media, firstEditionFormat, hardcover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEditionFormat Context triple: [Manufacturing Consent: The Political Economy of the Mass Media, firstEditionFormat, hardcover]
-
A.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
B.
firstArticulatedIn
Indicates the time or context in which something was originally expressed, formulated, or clearly stated for the first time.
-
C.
isbn
Indicates that a publication is associated with a specific International Standard Book Number (ISBN) that uniquely identifies it.
-
D.
firstStandardApproved
Indicates that an entity is the earliest or initial standard that has received formal approval.
-
E.
firstDemonstrated
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a249ec0d288190ac3a0939db61813b |
completed | Feb. 28, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69a24870417081909c7c01e400c94716 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.