Triple
T17293703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Story of Your Life |
E419850
|
entity |
| Predicate | hasISBNInCollection |
P126854
|
FINISHED |
| Object | 978-0-7653-0418-6 |
—
|
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: 978-0-7653-0418-6 | Statement: [Story of Your Life, hasISBNInCollection, 978-0-7653-0418-6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasISBNInCollection Context triple: [Story of Your Life, hasISBNInCollection, 978-0-7653-0418-6]
-
A.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
B.
hasBook
Indicates that an entity possesses, owns, or is associated with a particular book.
-
C.
bookNumberInCollection
Indicates the specific numerical position assigned to a book within a particular collection.
-
D.
hasLibraryHoldings
Indicates that a library possesses or maintains specific items or collections within its holdings.
-
E.
hasGoodreadsId
Indicates that an entity is associated with a specific identifier used by Goodreads to uniquely reference it in their system.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43785383881908ec61ddf5e2193cf |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:40 a.m.