Triple
T31752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Beautiful Mind (biography) |
E633
|
entity |
| Predicate | ISBN |
P1469
|
FINISHED |
| Object | 978-0-684-81906-8 |
—
|
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: 978-0-684-81906-8 | Statement: [A Beautiful Mind (biography), ISBN, 978-0-684-81906-8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ISBN Context triple: [A Beautiful Mind (biography), ISBN, 978-0-684-81906-8]
-
A.
isbn
chosen
Indicates that a publication is associated with a specific International Standard Book Number (ISBN) that uniquely identifies it.
-
B.
issn
Indicates that an entity is associated with a specific International Standard Serial Number (ISSN), identifying it as a particular serial publication.
-
C.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
D.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
E.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a249ec0d288190ac3a0939db61813b |
completed | Feb. 28, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69a24870417081909c7c01e400c94716 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.