Triple
T35867144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timeline franchise |
E1037117
|
entity |
| Predicate | publisherOfOriginalNovel |
P48337
|
FINISHED |
| Object | Alfred A. Knopf |
—
|
NE NERFINISHED |
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: Alfred A. Knopf | Statement: [Timeline franchise, publisherOfOriginalNovel, Alfred A. Knopf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publisherOfOriginalNovel Context triple: [Timeline franchise, publisherOfOriginalNovel, Alfred A. Knopf]
-
A.
publisherOfNovelization
Indicates that one entity is the publishing company responsible for releasing the novelization version of another entity (such as a film, game, or other work).
-
B.
novelPublisher
chosen
Indicates that a given publisher is the company or entity responsible for publishing a particular novel.
-
C.
originalPublisherType
Indicates the type or category of the entity that first published or released the content.
-
D.
publisherOfPrintVersion
Indicates that an entity serves as the publisher responsible for the printed (physical) version of another entity.
-
E.
authorOfNovelization
Indicates that one entity is the writer who created the novelized (prose) adaptation of another entity, typically a film, game, or other non-novel work.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff80d9a1d88190a95b1488acd6e2e5 |
completed | May 9, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69ff802ae2dc819093a3cda42b63dcbd |
completed | May 9, 2026, 6:42 p.m. |
Created at: May 3, 2026, 4:06 p.m.