Triple
T872820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Warden |
E18850
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Longman |
E84431
|
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: Longman | Statement: [The Warden, publisher, Longman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longman Context triple: [The Warden, publisher, Longman]
-
A.
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.
-
B.
Houghton Mifflin
Houghton Mifflin is a major American publishing company known for its educational materials, textbooks, and notable works of fiction and non-fiction.
-
C.
Longmans, Green, Reader, and Dyer
chosen
Longmans, Green, Reader, and Dyer was a prominent 19th-century British publishing house known for issuing influential works in literature, philosophy, and science.
-
D.
Chapman and Hall
Chapman and Hall was a prominent 19th-century British publishing house best known for issuing works by major Victorian authors such as Charles Dickens and Anthony Trollope.
-
E.
Cassell
Cassell is a British publishing company known for producing a wide range of books, including notable historical works and reference 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac97d0f88190b67fcb7fc058e4b9 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b84fb2d0819084c256023bc23dc5 |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:39 p.m.