Triple
T18178158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Learning with Python |
E435215
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Manning Publications |
—
|
NE NERFINISHED |
How this triple was built (3 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: Manning Publications | Statement: [Deep Learning with Python, publisher, Manning Publications]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manning Publications Context triple: [Deep Learning with Python, publisher, Manning Publications]
-
A.
O'Reilly Media
O'Reilly Media is a prominent technology and learning company known for its influential tech books, online training, and conferences that have shaped modern software and internet culture.
-
B.
O’Reilly Library
O’Reilly Library is the main academic library of Dublin City University, providing study spaces, print and digital collections, and research support for students and staff.
-
C.
Apress Pro series
The Apress Pro series is a collection of advanced, practitioner-focused technical books aimed at professional developers and IT experts.
-
D.
Morgan Kaufmann
Morgan Kaufmann is a prominent academic and professional publishing imprint known for influential books in computer science and engineering.
-
E.
Addison-Wesley
Addison-Wesley is a prominent American publishing company known for its influential textbooks and professional books in science, engineering, and computer science.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manning Publications Target entity description: Manning Publications is an independent technical book publisher known for its practical, developer-focused titles on programming, software engineering, and emerging technologies.
-
A.
O'Reilly Media
O'Reilly Media is a prominent technology and learning company known for its influential tech books, online training, and conferences that have shaped modern software and internet culture.
-
B.
O’Reilly Library
O’Reilly Library is the main academic library of Dublin City University, providing study spaces, print and digital collections, and research support for students and staff.
-
C.
Apress Pro series
The Apress Pro series is a collection of advanced, practitioner-focused technical books aimed at professional developers and IT experts.
-
D.
Morgan Kaufmann
Morgan Kaufmann is a prominent academic and professional publishing imprint known for influential books in computer science and engineering.
-
E.
Addison-Wesley
Addison-Wesley is a prominent American publishing company known for its influential textbooks and professional books in science, engineering, and computer science.
- F. None of above. chosen
Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5b68f081908aac8210270f1499 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:31 a.m.