Triple
T10211007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skipping Christmas |
E242325
|
entity |
| Predicate | publisherImprint |
P2763
|
FINISHED |
| Object | Doubleday Fiction |
E22938
|
NE FINISHED |
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: Doubleday Fiction | Statement: [Skipping Christmas, publisherImprint, Doubleday Fiction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doubleday Fiction Context triple: [Skipping Christmas, publisherImprint, Doubleday Fiction]
-
A.
Doubleday
chosen
Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
-
B.
Delacorte Press
Delacorte Press is an American book publisher best known as a children’s and young adult imprint releasing popular middle-grade and teen fiction.
-
C.
Anchor Books
Anchor Books is a paperback publishing imprint known for issuing classic and contemporary literary works, often in affordable and widely distributed editions.
-
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 (3 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652d8088c819084040883f2ab9dc6 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:01 a.m.