Triple
T7596033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ballad of Reading Gaol |
E179858
|
entity |
| Predicate | firstEditionAuthorCredit |
P78074
|
FINISHED |
| Object | "C.3.3." |
—
|
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: "C.3.3." | Statement: [The Ballad of Reading Gaol, firstEditionAuthorCredit, "C.3.3."]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEditionAuthorCredit Context triple: [The Ballad of Reading Gaol, firstEditionAuthorCredit, "C.3.3."]
-
A.
firstEditionISBN
Indicates that the object is the International Standard Book Number (ISBN) assigned to the first edition of the subject work.
-
B.
firstEditionType
Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
-
C.
firstEditionCategory
Indicates that an item belongs to a category specifically defined for its first edition.
-
D.
printedFirstEditionOf
Indicates that the subject entity produced and issued the initial published edition of the object entity.
-
E.
firstEditionAsUnder19
Indicates that the entity represents the first edition of a competition or event specifically for participants under 19 years old.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d39e9481908bec42447c97e3f8 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:53 p.m.