Triple
T834504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The General in His Labyrinth |
E18039
|
entity |
| Predicate | isbnFirstEnglishEdition |
P20928
|
FINISHED |
| Object | 9780394582580 |
—
|
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: 9780394582580 | Statement: [The General in His Labyrinth, isbnFirstEnglishEdition, 9780394582580]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isbnFirstEnglishEdition Context triple: [The General in His Labyrinth, isbnFirstEnglishEdition, 9780394582580]
-
A.
isbn
Indicates that a publication is associated with a specific International Standard Book Number (ISBN) that uniquely identifies it.
-
B.
isbn13
Indicates that the subject has the specified 13-digit International Standard Book Number (ISBN-13) as its unique identifier.
-
C.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
-
D.
firstEditionResult
Indicates that one entity is the outcome, record, or result associated specifically with the first edition of another entity.
-
E.
firstEditionVolumes
Indicates that the subject is a work or publication and the object is the number of volumes in its first edition.
- F. None of above. chosen
Provenance (4 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abccb94881909cd49aa3fd986b4a |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7c7df881909c539c3ab8ff0367 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab9634948190b25ea1b2e34df87d |
completed | March 1, 2026, 9:11 p.m. |
Created at: March 1, 2026, 7:38 p.m.