Triple
T18595859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eaarth |
E454491
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Times 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: Times Books | Statement: [Eaarth, publisher, Times Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Times Books Context triple: [Eaarth, publisher, Times Books]
-
A.
Times Books
chosen
Times Books is a publishing imprint known for producing nonfiction works, particularly in the fields of history, politics, and current affairs.
-
B.
Nation Books
Nation Books is a progressive, politically focused publishing imprint known for releasing works on current affairs, social justice, and investigative journalism.
-
C.
Pan Books
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
-
D.
Word Books
Word Books was a Christian publishing company known for producing religious and inspirational literature.
-
E.
Wave Books
Wave Books is an independent American poetry press known for publishing innovative contemporary poetry and hybrid literary works.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545ba3bc881908f5308e09d54e05b |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.