Triple
T472372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Goodfellow |
E8585
|
entity |
| Predicate | bookType |
P218
|
FINISHED |
| Object | graduate-level textbook |
—
|
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: graduate-level textbook | Statement: [Ian Goodfellow, bookType, graduate-level textbook]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookType Context triple: [Ian Goodfellow, bookType, graduate-level textbook]
-
A.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
B.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
C.
publicationType
chosen
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
D.
magazineType
Indicates the specific category or genre to which a magazine belongs.
-
E.
library
Indicates that an entity functions as or is associated with a library, typically as a place or system for storing, organizing, and providing access to collections of information resources.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eff24108819092fdb85019ec4089 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edecefb081908331ef8b9edf6636 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.