Triple
T31103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notorious RBG |
E620
|
entity |
| Predicate | bookGenre |
P14
|
FINISHED |
| Object | biography |
—
|
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: biography | Statement: [Notorious RBG, bookGenre, biography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookGenre Context triple: [Notorious RBG, bookGenre, biography]
-
A.
genre
chosen
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
B.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
C.
librarySystem
Indicates a relationship where an organized framework or infrastructure manages, catalogs, and provides access to library resources and services.
-
D.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
E.
publisherType
Indicates the classification or category of a publisher in relation to a published work or entity.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a249ec0d288190ac3a0939db61813b |
completed | Feb. 28, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69a24870417081909c7c01e400c94716 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.