Triple
T78607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreams from My Father |
E1574
|
entity |
| Predicate | isbn10 |
P1469
|
FINISHED |
| Object | 081292343X |
—
|
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: 081292343X | Statement: [Dreams from My Father, isbn10, 081292343X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isbn10 Context triple: [Dreams from My Father, isbn10, 081292343X]
-
A.
isbn
chosen
Indicates that a publication is associated with a specific International Standard Book Number (ISBN) that uniquely identifies it.
-
B.
deweyDecimalClassification
Indicates the Dewey Decimal System classification assigned to an item, expressing its subject-based placement within a library’s organizational scheme.
-
C.
hasDeweyDecimalClassification
Indicates that an item (such as a book or resource) is assigned a specific Dewey Decimal Classification number representing its subject area in a library system.
-
D.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
E.
issn
Indicates that an entity is associated with a specific International Standard Serial Number (ISSN), identifying it as a particular serial 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24eb126b48190b410b859c1be99aa |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.