Triple
T29016926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carabella |
E737335
|
entity |
| Predicate | publicationFormOfFirstAppearance |
P47750
|
FINISHED |
| Object | book |
—
|
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: book | Statement: [Carabella, publicationFormOfFirstAppearance, book]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationFormOfFirstAppearance Context triple: [Carabella, publicationFormOfFirstAppearance, book]
-
A.
placeOfFirstPublication
Indicates the location where a work was first published or made publicly available.
-
B.
firstPublicationIn
chosen
Indicates the initial venue, medium, or context in which a work was first published.
-
C.
firstAppearancePublisher
Indicates the publisher responsible for releasing an entity’s first appearance.
-
D.
firstMagazineAppearance
Indicates that an entity made its debut or earliest known appearance in a particular magazine.
-
E.
publisherOfFirstMagazineAppearance
Indicates the publisher responsible for releasing an entity’s first appearance in a magazine.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: April 28, 2026, 9:46 a.m.