Triple
T11822780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pickwick Papers |
E281179
|
entity |
| Predicate | firstSerializationMedium |
P83414
|
FINISHED |
| Object | monthly serial |
—
|
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: monthly serial | Statement: [The Pickwick Papers, firstSerializationMedium, monthly serial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSerializationMedium Context triple: [The Pickwick Papers, firstSerializationMedium, monthly serial]
-
A.
firstEditionMediaType
Indicates the type or format of the medium in which something was originally published in its first edition.
-
B.
primarySerialization
Indicates that one representation or format of an entity is designated as its main or default form for storage, transmission, or processing.
-
C.
primaryMedium
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
-
D.
firstSerialisedIn
chosen
Indicates the original publication or medium in which something (such as a work or story) was first released in serialized form.
-
E.
printedFirstEditionOf
Indicates that the subject entity produced and issued the initial published edition of the object entity.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e9c50481909b2287a0b23d2094 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.