Triple
T19296975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beet Queen |
E482590
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Henry Holt and Company |
—
|
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: Henry Holt and Company | Statement: [The Beet Queen, publisher, Henry Holt and Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Holt and Company Context triple: [The Beet Queen, publisher, Henry Holt and Company]
-
A.
Henry Holt and Company
chosen
Henry Holt and Company is a long-established American publishing house known for its wide range of literary, nonfiction, and academic titles.
-
B.
Henry Holt
Henry Holt was an American publisher and co-founder of the prominent New York publishing house Henry Holt and Company in the late 19th century.
-
C.
William Morrow and Company
William Morrow and Company is a long-established American publishing house known for releasing popular fiction and nonfiction titles.
-
D.
Simon & Schuster
Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
-
E.
St. Martin's Press
St. Martin's Press is a major American book publisher known for its wide range of commercial fiction and nonfiction titles.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc85e8988190a98bc291121f0153 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.