Triple
T18342322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Vavasor |
E439439
|
entity |
| Predicate | workFirstPublishedAs |
P118326
|
FINISHED |
| Object | serial in The Fortnightly Review |
—
|
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: serial in The Fortnightly Review | Statement: [Kate Vavasor, workFirstPublishedAs, serial in The Fortnightly Review]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workFirstPublishedAs Context triple: [Kate Vavasor, workFirstPublishedAs, serial in The Fortnightly Review]
-
A.
workFirstPublishedAsPlay
Indicates that the work was originally first published in the form of a play.
-
B.
workPublishedBy
Indicates that a work (such as a book, article, or other creation) has been issued or made publicly available by a particular publisher or publishing entity.
-
C.
workPublishedAuthor
Indicates that a particular work was created and published by a specific author.
-
D.
firstPublicationUnderName
Indicates that an entity’s first publication occurred using a specified name (e.g., pseudonym, pen name, or new legal name).
-
E.
notableWorkPublishedIn
chosen
Indicates that a notable work associated with an entity was published in a particular venue, medium, or 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f0b5a881908056d48bc48124b8 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.