Triple
T14239496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Target Books Doctor Who range |
E352969
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Target Books
Target Books is a British publishing imprint best known for its novelizations of classic Doctor Who television stories.
|
E1087533
|
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: Target Books | Statement: [Target Books Doctor Who range, publisher, Target Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Target Books Context triple: [Target Books Doctor Who range, publisher, Target Books]
-
A.
Word Books
Word Books was a Christian publishing company known for producing religious and inspirational literature.
-
B.
Pan Books
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
-
C.
Buchs
Buchs is a municipality in the canton of St. Gallen in northeastern Switzerland, known as an industrial and commercial center near the Liechtenstein border.
-
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.
Bookends
"Bookends" is a 1968 studio album by American folk-rock duo Simon & Garfunkel, noted for its introspective themes and innovative, concept-album structure.
- 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: Target Books Triple: [Target Books Doctor Who range, publisher, Target Books]
Generated description
Target Books is a British publishing imprint best known for its novelizations of classic Doctor Who television stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Target Books Target entity description: Target Books is a British publishing imprint best known for its novelizations of classic Doctor Who television stories.
-
A.
Word Books
Word Books was a Christian publishing company known for producing religious and inspirational literature.
-
B.
Pan Books
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
-
C.
Buchs
Buchs is a municipality in the canton of St. Gallen in northeastern Switzerland, known as an industrial and commercial center near the Liechtenstein border.
-
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.
Bookends
"Bookends" is a 1968 studio album by American folk-rock duo Simon & Garfunkel, noted for its introspective themes and innovative, concept-album structure.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282183308190b63172972773b3c2 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd29fd7cdc8190bd210f3b27f935c0 |
completed | May 8, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2bc719ac8190b2b8726c70d811dd |
completed | May 8, 2026, 12:18 a.m. |
Created at: April 10, 2026, 1:08 a.m.