Triple
T12909391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Salinger |
E308811
|
entity |
| Predicate | notableWorkPublicationType |
P32093
|
FINISHED |
| Object | book |
—
|
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: book | Statement: [Margaret Salinger, notableWorkPublicationType, book]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWorkPublicationType Context triple: [Margaret Salinger, notableWorkPublicationType, book]
-
A.
notableTypeOfWork
Indicates that a work is a significant or defining example within a particular type or category of work associated with an entity.
-
B.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
C.
hasNotablePublicationType
chosen
Indicates that an entity is associated with a publication of a specific notable type or category.
-
D.
notableWorkPublicationDate
Indicates the date on which a notable work associated with an entity was first published.
-
E.
notablePublicationDepicting
Indicates that a notable publication portrays, illustrates, or otherwise represents a particular entity or subject.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.