Triple
T21516258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It’s My Turn |
E530849
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Word Books |
—
|
NE NERFINISHED |
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: Word Books | Statement: [It’s My Turn, publisher, Word Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Word Books Context triple: [It’s My Turn, publisher, Word Books]
-
A.
Word Books
chosen
Word Books was a Christian publishing company known for producing religious and inspirational literature.
-
B.
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.
-
C.
Wave Books
Wave Books is an independent American poetry press known for publishing innovative contemporary poetry and hybrid literary works.
-
D.
الكتاب
الكتاب هو مؤلَّف نحوي كلاسيكي لسيبويه يُعدّ من أهم وأقدم المراجع في النحو العربي.
-
E.
Target Books
Target Books is a British publishing imprint best known for its novelizations of classic Doctor Who television stories.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee81416f288190a62f62ddd6895b24 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 6:25 p.m.