Triple
T10594315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul on Fire |
E250070
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Word Books
Word Books was a Christian publishing company known for producing religious and inspirational literature.
|
E873456
|
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: Word Books | Statement: [Soul on Fire, publisher, Word Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Word Books Context triple: [Soul on Fire, publisher, Word Books]
-
A.
Wave Books
Wave Books is an independent American poetry press known for publishing innovative contemporary poetry and hybrid literary works.
-
B.
الكتاب
الكتاب هو مؤلَّف نحوي كلاسيكي لسيبويه يُعدّ من أهم وأقدم المراجع في النحو العربي.
-
C.
Books Division
The Books Division is the publishing arm of the University of Chicago Press responsible for producing and distributing its scholarly and general-interest books.
-
D.
OR Books
OR Books is an independent, progressive publishing house known for releasing politically engaged and innovative nonfiction and fiction, often in digital-first formats.
-
E.
Gallery Books
Gallery Books is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles, including bestsellers and works by popular contemporary authors.
- 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: Word Books Triple: [Soul on Fire, publisher, Word Books]
Generated description
Word Books was a Christian publishing company known for producing religious and inspirational literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Word Books Target entity description: Word Books was a Christian publishing company known for producing religious and inspirational literature.
-
A.
Wave Books
Wave Books is an independent American poetry press known for publishing innovative contemporary poetry and hybrid literary works.
-
B.
الكتاب
الكتاب هو مؤلَّف نحوي كلاسيكي لسيبويه يُعدّ من أهم وأقدم المراجع في النحو العربي.
-
C.
Books Division
The Books Division is the publishing arm of the University of Chicago Press responsible for producing and distributing its scholarly and general-interest books.
-
D.
OR Books
OR Books is an independent, progressive publishing house known for releasing politically engaged and innovative nonfiction and fiction, often in digital-first formats.
-
E.
Gallery Books
Gallery Books is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles, including bestsellers and works by popular contemporary authors.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278bacd88190a50dedfa59b622fc |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e8de2e88190835954abb2ac2ece |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d95f80d0c48190b88e3a4b3e42279c |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9602a1d688190ad0f3014d69049cc |
completed | April 10, 2026, 8:40 p.m. |
Created at: April 6, 2026, 12:41 p.m.