Triple
T12166989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardner Dozois |
E289858
|
entity |
| Predicate | numberOfHugoAwardsForBestProfessionalEditor |
P103112
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Gardner Dozois, numberOfHugoAwardsForBestProfessionalEditor, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHugoAwardsForBestProfessionalEditor Context triple: [Gardner Dozois, numberOfHugoAwardsForBestProfessionalEditor, 15]
-
A.
isProfessionalAward
Indicates that the award in question is a formal recognition given within a professional or occupational context.
-
B.
hasManagingEditor
Indicates that one entity serves as the managing editor responsible for overseeing the editorial operations of another entity.
-
C.
namedEditorInChief
Indicates that one entity has been designated to serve in the role of editor-in-chief for another entity, such as a publication or organization.
-
D.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
-
E.
hasFictionalEditor
Indicates that an entity is associated with a fictional editor character responsible for editing or overseeing its content within a narrative or fictional context.
- F. None of above. chosen
Provenance (4 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d916165c708190bf0745e125589f46 |
completed | April 10, 2026, 3:24 p.m. |
Created at: April 8, 2026, 9:50 p.m.