Triple
T24162830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Canticle for Leibowitz |
E598889
|
entity |
| Predicate | originallySerializedIn |
P83414
|
FINISHED |
| Object | The Magazine of Fantasy & Science Fiction |
—
|
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: The Magazine of Fantasy & Science Fiction | Statement: [A Canticle for Leibowitz, originallySerializedIn, The Magazine of Fantasy & Science Fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallySerializedIn Context triple: [A Canticle for Leibowitz, originallySerializedIn, The Magazine of Fantasy & Science Fiction]
-
A.
originallySerialized
Indicates that one entity was first stored, recorded, or encoded in a serialized form by another entity or process.
-
B.
firstSerialisedIn
chosen
Indicates the original publication or medium in which something (such as a work or story) was first released in serialized form.
-
C.
serializedIn
Indicates that something is published or presented in sequential installments within a larger medium or series.
-
D.
originalSerialization
Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
-
E.
originalSerializationMedium
Indicates the medium or format in which something was first serialized or originally published in installments.
- 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:32 p.m.