Triple
T10418820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Grose |
E245589
|
entity |
| Predicate | firstPublicationContextOfWork |
P47750
|
FINISHED |
| Object | serialized in Collier’s Weekly |
—
|
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: serialized in Collier’s Weekly | Statement: [Mrs. Grose, firstPublicationContextOfWork, serialized in Collier’s Weekly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationContextOfWork Context triple: [Mrs. Grose, firstPublicationContextOfWork, serialized in Collier’s Weekly]
-
A.
firstPublicationContext
Indicates the original context or setting (such as venue, medium, or circumstance) in which something was first published.
-
B.
firstPublicationIn
chosen
Indicates the initial venue, medium, or context in which a work was first published.
-
C.
firstPerformanceOfWorkAppearedIn
Indicates that a given performance is the earliest known or documented performance in which a particular work was presented or appeared.
-
D.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
E.
initialPublication
Indicates the relationship in which a work is first formally published or made publicly available.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2938188190a908316d0a0959be |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:11 p.m.