Triple
T12942860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avon’s Modern Writing I anthology |
E309678
|
entity |
| Predicate | workIncludedType |
P44667
|
FINISHED |
| Object | contemporary short stories |
—
|
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: contemporary short stories | Statement: [Avon’s Modern Writing I anthology, workIncludedType, contemporary short stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workIncludedType Context triple: [Avon’s Modern Writing I anthology, workIncludedType, contemporary short stories]
-
A.
workIncludes
Indicates that a work (such as a project, document, or creative piece) contains or incorporates another specified component, part, or element.
-
B.
includedWorkOn
chosen
Indicates that one entity contains, features, or incorporates another entity as a work or component within it.
-
C.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
D.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
E.
worksFrom
Indicates that an entity performs its work or duties starting from or based at a specified location or source.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.