Triple
T9360966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 300 (comic series) |
E225273
|
entity |
| Predicate | originalPublisherFormat |
P35132
|
FINISHED |
| Object | five-issue monthly comic series |
—
|
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: five-issue monthly comic series | Statement: [300 (comic series), originalPublisherFormat, five-issue monthly comic series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPublisherFormat Context triple: [300 (comic series), originalPublisherFormat, five-issue monthly comic series]
-
A.
originalPublisherType
Indicates the type or category of the entity that first published or released the content.
-
B.
originalPublicationForm
chosen
Indicates the format or medium in which a work was first originally published.
-
C.
originalLanguagePublisher
Indicates that a publisher is responsible for releasing a work in its original language, before or apart from any translations.
-
D.
firstPublisher
Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
-
E.
adaptedFromPublisher
Indicates that the subject work has been adapted from material originally published by the specified publisher.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff4268c819099dd5fe79d93e7ea |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.