Triple
T28229442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Ledwidge |
E711683
|
entity |
| Predicate | hasWrittenStandaloneNovels |
P129131
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Michael Ledwidge, hasWrittenStandaloneNovels, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWrittenStandaloneNovels Context triple: [Michael Ledwidge, hasWrittenStandaloneNovels, true]
-
A.
hasWrittenFiction
Indicates that one entity is the creator or author of fictional written works associated with another entity.
-
B.
hasWrittenNonFiction
Indicates that a person is the author of one or more non-fiction works.
-
C.
hasStandaloneTales
chosen
Indicates that an entity includes or is associated with independent, self-contained stories that can be understood without relying on a larger narrative.
-
D.
isLastPublishedNovelOf
Indicates that one entity is the most recently published novel authored by another entity.
-
E.
hasNovelization
Indicates that a work has been adapted into a novel or prose narrative form.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 10:51 p.m.