Triple
T7976790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Computer Organization and Design |
E185466
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Morgan Kaufmann |
E697138
|
NE 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: Morgan Kaufmann | Statement: [Computer Organization and Design, publisher, Morgan Kaufmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Kaufmann Context triple: [Computer Organization and Design, publisher, Morgan Kaufmann]
-
A.
Morgan Kaufmann
chosen
Morgan Kaufmann is a prominent academic and professional publishing imprint known for influential books in computer science and engineering.
-
B.
Addison-Wesley
Addison-Wesley is a prominent American publishing company known for its influential textbooks and professional books in science, engineering, and computer science.
-
C.
Jossey-Bass
Jossey-Bass is an American publishing imprint known for its books on business, leadership, education, and nonprofit management.
-
D.
Academic Press
Academic Press is a prominent academic publishing company known for producing scholarly books and journals across the sciences, mathematics, and related fields.
-
E.
Wiley
Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0cc09a081909cb92cd4864ef50d |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:14 p.m.