Triple
T30870584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Physiology of Industry |
E786325
|
entity |
| Predicate | positionInLiterature |
P135758
|
FINISHED |
| Object | early systematic statement of underconsumption theory |
—
|
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: early systematic statement of underconsumption theory | Statement: [The Physiology of Industry, positionInLiterature, early systematic statement of underconsumption theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInLiterature Context triple: [The Physiology of Industry, positionInLiterature, early systematic statement of underconsumption theory]
-
A.
positionInFiction
Indicates that one entity holds a specific role, status, or placement within a fictional work or narrative.
-
B.
functionInLiterature
chosen
Indicates that one entity serves a particular narrative, rhetorical, or thematic role within a literary work in relation to another entity.
-
C.
usesLiteraryLens
Indicates that one entity analyzes, interprets, or evaluates another entity (such as a text or work) through a specific literary lens or critical framework.
-
D.
inLiterature
Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
-
E.
nameInLiterature
Indicates that a particular name is used or appears for an entity within a literary work 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: April 29, 2026, 8:47 p.m.