Triple
T1364432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales of a Wayside Inn |
E29169
|
entity |
| Predicate | hasIllustratedEdition |
P2386
|
FINISHED |
| Object | various illustrated editions |
—
|
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: various illustrated editions | Statement: [Tales of a Wayside Inn, hasIllustratedEdition, various illustrated editions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIllustratedEdition Context triple: [Tales of a Wayside Inn, hasIllustratedEdition, various illustrated editions]
-
A.
hasIllustrations
chosen
Indicates that an entity includes or is accompanied by visual illustrations.
-
B.
hasIllustrationsBy
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
C.
notableEdition
Indicates that a particular edition or version of a work is especially significant or noteworthy in relation to that work.
-
D.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
E.
hasEditionType
Indicates that one entity is a specific edition type or format classification of another entity (such as a work, publication, or product).
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b725248190bdfdc0031ddc477f |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4bef945c08190a027472fdd695ea5 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.