Triple
T17049611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Fairy Tales |
E413657
|
entity |
| Predicate | compilerOf |
P3924
|
FINISHED |
| Object | traditional English folk tales |
—
|
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: traditional English folk tales | Statement: [English Fairy Tales, compilerOf, traditional English folk tales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compilerOf Context triple: [English Fairy Tales, compilerOf, traditional English folk tales]
-
A.
compilerType
Indicates the specific kind or category of compiler associated with or used by an entity.
-
B.
textCompiler
Indicates that one entity functions as a compiler that processes, transforms, or translates text associated with another entity.
-
C.
compilerMethod
Indicates that a method is used by or generated for the compiler as part of the code compilation process.
-
D.
compiler
chosen
Indicates that one entity serves as a compiler of another, typically transforming source material (such as code or documents) into a compiled or aggregated form.
-
E.
compiledUnder
Indicates that something (typically code or a program) was built or translated into executable form using a specific compiler, configuration, or compilation environment.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa1aeac81909e8d97bd708c6b71 |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.