Triple
T29119157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American pulp magazines |
E737128
|
entity |
| Predicate | businessTrend |
P39078
|
FINISHED |
| Object | decline after World War II |
—
|
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: decline after World War II | Statement: [American pulp magazines, businessTrend, decline after World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessTrend Context triple: [American pulp magazines, businessTrend, decline after World War II]
-
A.
economicTrend
Indicates the general direction or pattern of economic activity or conditions over a period of time.
-
B.
business
Indicates that an entity is engaged in commercial or professional activities, such as providing goods or services for profit.
-
C.
trends
chosen
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
-
D.
tradeFocus
Indicates a primary emphasis on or specialization in a particular type of trade, transaction, or commercial activity within the relationship or context.
-
E.
businessEvolution
Indicates how a business changes, grows, or transforms over time in response to internal developments and external conditions.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 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, 11:24 a.m.