Triple
T249071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium Edition |
E5102
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Basic Books
Basic Books is an American publishing company known for releasing influential works in the fields of social sciences, humanities, and public affairs.
|
E32461
|
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: Basic Books | Statement: [Millennium Edition, publisher, Basic Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basic Books Context triple: [Millennium Edition, publisher, Basic Books]
-
A.
Basic Latin
Basic Latin is the foundational Unicode block that encodes the standard English letters, digits, and common punctuation used in most Western text.
-
B.
Reading
Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
-
C.
Pan Books
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
-
D.
Book 7A
Book 7A is a former separate section of the Dutch Civil Code that contained specific provisions on obligations and contracts, many of which have since been integrated into Book 7.
-
E.
Real Simple
Real Simple is a lifestyle magazine and media brand focused on practical tips for home, organization, cooking, and everyday living.
- 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: Basic Books Triple: [Millennium Edition, publisher, Basic Books]
Generated description
Basic Books is an American publishing company known for releasing influential works in the fields of social sciences, humanities, and public affairs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Basic Books Target entity description: Basic Books is an American publishing company known for releasing influential works in the fields of social sciences, humanities, and public affairs.
-
A.
Basic Latin
Basic Latin is the foundational Unicode block that encodes the standard English letters, digits, and common punctuation used in most Western text.
-
B.
Reading
Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
-
C.
Pan Books
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
-
D.
Book 7A
Book 7A is a former separate section of the Dutch Civil Code that contained specific provisions on obligations and contracts, many of which have since been integrated into Book 7.
-
E.
Real Simple
Real Simple is a lifestyle magazine and media brand focused on practical tips for home, organization, cooking, and everyday living.
- F. None of above. chosen
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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a37371d2548190a71a1b15d6f9ce3c |
completed | Feb. 28, 2026, 11 p.m. |
| NEDg | Description generation | batch_69a373f650588190af71549fb7df4ae6 |
completed | Feb. 28, 2026, 11:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a374a737f88190a4b2d838db12cc4e |
completed | Feb. 28, 2026, 11:05 p.m. |
Created at: Feb. 28, 2026, 2:54 a.m.