Triple
T28203320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh Dear Silvia |
E716946
|
entity |
| Predicate | isSecondNovelBy |
P164127
|
FINISHED |
| Object | Dawn French |
—
|
NE NERFINISHED |
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: Dawn French | Statement: [Oh Dear Silvia, isSecondNovelBy, Dawn French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondNovelBy Context triple: [Oh Dear Silvia, isSecondNovelBy, Dawn French]
-
A.
hasNovella
Indicates that one entity possesses, includes, or is associated with a novella as part of its contents or attributes.
-
B.
isSecondEditionOf
Indicates that one entity is the second edition or version of another, typically representing a revised or updated form of the original.
-
C.
isLastPublishedNovelOf
Indicates that one entity is the most recently published novel authored by another entity.
-
D.
isSecondAutobiographyOf
Indicates that one work is the second autobiography written by or about a particular person.
-
E.
isOnlyNovelBy
Indicates that the referenced work is the sole novel created by the specified author or creator.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6430c4510819089589fec7d1a01e6 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:33 p.m.