Triple
T31047284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Frankenstein |
E791162
|
entity |
| Predicate | publicationOfFirstWork |
P3278
|
FINISHED |
| Object | 1818 edition of Frankenstein |
—
|
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: 1818 edition of Frankenstein | Statement: [William Frankenstein, publicationOfFirstWork, 1818 edition of Frankenstein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationOfFirstWork Context triple: [William Frankenstein, publicationOfFirstWork, 1818 edition of Frankenstein]
-
A.
firstPublishedWork
Indicates that one work is the earliest piece created or released by a particular creator or entity.
-
B.
firstPublicationUnderName
Indicates that an entity’s first publication occurred using a specified name (e.g., pseudonym, pen name, or new legal name).
-
C.
workFirstPublicationApproximate
Indicates that the date of a work’s first publication is not exact but an approximate or estimated value.
-
D.
debutWork
chosen
Indicates the work (such as a book, film, album, or performance) that marks an entity’s first public or professional appearance in a given field.
-
E.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: April 29, 2026, 8:59 p.m.