Triple
T2216278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Secret Service (comic book) |
E48038
|
entity |
| Predicate | hasCollectedEdition |
P36864
|
FINISHED |
| Object | The Secret Service trade paperback |
—
|
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: The Secret Service trade paperback | Statement: [The Secret Service (comic book), hasCollectedEdition, The Secret Service trade paperback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectedEdition Context triple: [The Secret Service (comic book), hasCollectedEdition, The Secret Service trade paperback]
-
A.
hasEditionType
Indicates that one entity is a specific edition type or format classification of another entity (such as a work, publication, or product).
-
B.
hasDifferentEditions
Indicates that an entity exists in multiple distinct versions or editions that differ in some characteristics.
-
C.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
D.
has edition or version
Indicates that one entity exists as a particular edition or version of another entity.
-
E.
hasFirstEditionYear
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc00f4c3881909d03301fcdfa8b67 |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdaa26d48190860c33fd464c4845 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf0c2b8881908553eed5be17a9c2 |
completed | March 7, 2026, 6 a.m. |
Created at: March 4, 2026, 7:46 p.m.