Triple
T32597803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Martin Stern |
E833269
|
entity |
| Predicate | hasBibliographyItemCount |
P136706
|
FINISHED |
| Object | more than 20 novels |
—
|
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: more than 20 novels | Statement: [Richard Martin Stern, hasBibliographyItemCount, more than 20 novels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBibliographyItemCount Context triple: [Richard Martin Stern, hasBibliographyItemCount, more than 20 novels]
-
A.
hasBibliographySize
chosen
Indicates the relationship between a work and the size or length of its bibliography, typically expressed as a count of referenced items.
-
B.
hasBibliography
Indicates that one entity includes or is associated with a bibliography listing referenced or related works.
-
C.
hasCitationCount
Indicates that an entity (such as a publication) is associated with a specific number representing how many times it has been cited.
-
D.
hasBibliographicCategory
Indicates that an entity is associated with a specific bibliographic classification or category within a cataloging or documentation system.
-
E.
hasCitationInformation
Indicates that an entity is associated with specific citation details, such as source, reference, or bibliographic information.
- 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_69f3492ab63c8190aec24d5003b47c29 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: May 1, 2026, 1:05 a.m.