Triple
T16525641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make Me |
E401427
|
entity |
| Predicate | isbnHardcoverUK |
P123891
|
FINISHED |
| Object | 9780593073887 |
—
|
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: 9780593073887 | Statement: [Make Me, isbnHardcoverUK, 9780593073887]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isbnHardcoverUK Context triple: [Make Me, isbnHardcoverUK, 9780593073887]
-
A.
isbnFirstEnglishEdition
Indicates that the object is the ISBN identifier corresponding to the first English-language edition of the subject work.
-
B.
isbnType
Indicates the specific classification or format type associated with an ISBN identifier for a publication.
-
C.
isbn
Indicates that a publication is associated with a specific International Standard Book Number (ISBN) that uniquely identifies it.
-
D.
isbn13
Indicates that the subject has the specified 13-digit International Standard Book Number (ISBN-13) as its unique identifier.
-
E.
hasUKVersion
Indicates that an entity has a corresponding version or variant that is specific to the United Kingdom.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed3f0388190a9f03473c37dfc46 |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.