Triple
T7980392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Git |
E185555
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Apress
Apress is a technical and business book publisher known for its extensive catalog of programming, software development, and IT titles.
|
E5101
|
NE FINISHED |
How this triple was built (4 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: Apress | Statement: [Pro Git, publisher, Apress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apress Context triple: [Pro Git, publisher, Apress]
-
A.
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.
-
B.
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.
-
C.
Addison-Wesley
Addison-Wesley is a prominent American publishing company known for its influential textbooks and professional books in science, engineering, and computer science.
-
D.
Morgan Kaufmann
Morgan Kaufmann is a prominent academic and professional publishing imprint known for influential books in computer science and engineering.
-
E.
Wiley
Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Apress Triple: [Pro Git, publisher, Apress]
Generated description
Apress is a technical and business book publisher known for its extensive catalog of programming, software development, and IT titles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apress Target entity description: Apress is a technical and business book publisher known for its extensive catalog of programming, software development, and IT titles.
-
A.
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.
-
B.
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.
-
C.
Addison-Wesley
chosen
Addison-Wesley is a prominent American publishing company known for its influential textbooks and professional books in science, engineering, and computer science.
-
D.
Morgan Kaufmann
Morgan Kaufmann is a prominent academic and professional publishing imprint known for influential books in computer science and engineering.
-
E.
Wiley
Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
- F. None of above.
Provenance (5 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c274ce48190854d389d43ce14b8 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0d3c724819087df03cea2ed998f |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cc46c221848190848c7e017e532a16 |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc480d2f40819085046a1d0c9d05e0 |
completed | March 31, 2026, 10:17 p.m. |
Created at: March 30, 2026, 5:14 p.m.