Triple
T19274207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Criterion (October 1922 issue) |
E482004
|
entity |
| Predicate | workTypeOfContainedWork |
P101914
|
FINISHED |
| Object | poem |
—
|
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: poem | Statement: [The Criterion (October 1922 issue), workTypeOfContainedWork, poem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTypeOfContainedWork Context triple: [The Criterion (October 1922 issue), workTypeOfContainedWork, poem]
-
A.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
B.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
-
C.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
D.
nicknameOfContainedWork
Indicates that a name is a nickname or informal title used for a work that is contained within another larger work.
-
E.
hasSectionOfWorkType
chosen
Indicates that an entity is associated with a specific type or category of work section it involves or contains.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbb2fc08190b417a6d0b7a9d6b8 |
completed | April 20, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:29 p.m.