Triple
T29613181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Bond continuation novels |
E754787
|
entity |
| Predicate | firstContinuationAuthor |
P203075
|
FINISHED |
| Object | Kingsley Amis |
—
|
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: Kingsley Amis | Statement: [James Bond continuation novels, firstContinuationAuthor, Kingsley Amis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstContinuationAuthor Context triple: [James Bond continuation novels, firstContinuationAuthor, Kingsley Amis]
-
A.
firstPublicationAuthor
Indicates that the subject is the author responsible for the first publication of the object.
-
B.
firstAuthorUse
Indicates that the referenced entity is used or cited specifically as the first (primary) author in a work or context.
-
C.
firstPublicationAuthorName
Indicates the name of the author who wrote the work’s first published edition.
-
D.
firstContributor
Indicates that the subject is the earliest or initial contributor to the object within a given context or project.
-
E.
subsequentAuthor
Indicates that one author comes after another in an ordered sequence of authorship, such as in a list of contributors to a work.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a011d76f3f88190be3d7c9eb0552f34 |
completed | May 11, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_6a011cce684881909dd15776bb77a6e0 |
completed | May 11, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_6a011d764d108190b4a6f35595ddd9d4 |
completed | May 11, 2026, 12:06 a.m. |
Created at: April 28, 2026, 6:30 p.m.