Triple
T8490198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dial (1840–1844) |
E200947
|
entity |
| Predicate | publishedContent |
P57447
|
FINISHED |
| Object | essays |
—
|
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: essays | Statement: [The Dial (1840–1844), publishedContent, essays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publishedContent Context triple: [The Dial (1840–1844), publishedContent, essays]
-
A.
publishesContent
chosen
Indicates that one entity makes content created by another entity publicly available or distributed through some medium.
-
B.
publishedAs
Indicates that an entity is released, issued, or made publicly available under a particular name, format, or identity.
-
C.
publishedFor
Indicates that something (such as a work, document, or content) is published with a particular audience, recipient, or target group in mind.
-
D.
publishedDocument
Indicates that an entity has formally issued or made a document publicly available.
-
E.
publicationAbout
Indicates that a publication has content whose subject or focus is the referenced entity.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5596f1c8190aead21a245f21c07 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:13 p.m.