Triple
T16139548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Leckie |
E391615
|
entity |
| Predicate | hasWrittenShortFictionFor |
P78982
|
FINISHED |
| Object | various science fiction magazines |
—
|
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 science fiction magazines | Statement: [Ann Leckie, hasWrittenShortFictionFor, various science fiction magazines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWrittenShortFictionFor Context triple: [Ann Leckie, hasWrittenShortFictionFor, various science fiction magazines]
-
A.
hasWrittenFiction
chosen
Indicates that one entity is the creator or author of fictional written works associated with another entity.
-
B.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
-
C.
workWrittenFor
Indicates that a creative work was specifically composed, produced, or created for a particular person, group, event, purpose, or medium.
-
D.
hasAssociatedWorkOfFiction
Indicates that an entity is linked to a related work of fiction, such as a novel, film, or story that is associated with it.
-
E.
hasWrittenNonFiction
Indicates that a person is the author of one or more non-fiction works.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a07b7908190b4e1ec57f60a9274 |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.