Triple
T19863017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs Dale |
E477314
|
entity |
| Predicate | publicationDateOfWorkWhereAppears |
P97077
|
FINISHED |
| Object | 1864 |
—
|
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: 1864 | Statement: [Mrs Dale, publicationDateOfWorkWhereAppears, 1864]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationDateOfWorkWhereAppears Context triple: [Mrs Dale, publicationDateOfWorkWhereAppears, 1864]
-
A.
appearsInPublicationYear
chosen
Indicates that an entity is featured in a publication that was released in a specific year.
-
B.
relatedWorkPublicationYear
Indicates the year in which a related work associated with the primary entity was published.
-
C.
appearsInWorkByAuthorFrom
Indicates that an entity appears in a work that was created by an author originating from a specified place or country.
-
D.
authorWorkPublicationYear
Indicates the year in which a specific work created by an author was published.
-
E.
appearsInPublication
Indicates that an entity is featured, mentioned, or discussed within a specific publication.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589c4c0081908cd51ff75441e7ac |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.