Triple
T22238453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daffodils |
E549652
|
entity |
| Predicate | publisherOfFirstBookAppearance |
P7323
|
FINISHED |
| Object | Longman |
—
|
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: Longman | Statement: [Daffodils, publisherOfFirstBookAppearance, Longman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longman Context triple: [Daffodils, publisherOfFirstBookAppearance, Longman]
-
A.
Longman
chosen
Longman is a historic British publishing company best known for its educational and academic books and dictionaries.
-
B.
Orient Longman
Orient Longman is an established Indian publishing house known for producing academic, educational, and literary works across a range of disciplines.
-
C.
The Oxford Press
The Oxford Press is a local newspaper serving the community of Oxford, Ohio, providing news, events coverage, and information relevant to area residents.
-
D.
Oxford University Press
Oxford University Press is a major academic publishing house and department of the University of Oxford, renowned worldwide for its scholarly books, journals, and reference works.
-
E.
Houghton Mifflin
Houghton Mifflin is a major American publishing company known for its educational materials, textbooks, and notable works of fiction and non-fiction.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132123a048190ba5a90d7acb9aeb2 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.