Triple
T5587482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collected Stories of William Faulkner |
E146790
|
entity |
| Predicate | isAnthologyOf |
P35593
|
FINISHED |
| Object | short stories by William Faulkner |
—
|
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: short stories by William Faulkner | Statement: [Collected Stories of William Faulkner, isAnthologyOf, short stories by William Faulkner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAnthologyOf Context triple: [Collected Stories of William Faulkner, isAnthologyOf, short stories by William Faulkner]
-
A.
isCompilationOf
Indicates that one entity is a collected or assembled version made up of multiple other entities.
-
B.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
-
C.
literaryCollection
chosen
Indicates that one entity is a collection or compilation of literary works that includes or is associated with the other entity.
-
D.
isCoverOf
Indicates that one entity functions as a protective or enclosing layer placed over another entity.
-
E.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0209d713081908b39ee8befb2faf7 |
completed | March 22, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.