Triple
T2258729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Scudder |
E49786
|
entity |
| Predicate | publisherOfWork |
P1760
|
FINISHED |
| Object | Derby and Jackson |
E54034
|
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: Derby and Jackson | Statement: [Mrs. Scudder, publisherOfWork, Derby and Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derby and Jackson Context triple: [Mrs. Scudder, publisherOfWork, Derby and Jackson]
-
A.
Derby and Jackson
chosen
Derby and Jackson was a 19th-century American publishing firm known for issuing literary and religious works.
-
B.
Derby
Derby is a historic city in Derbyshire, England, known for its industrial heritage, particularly in railways and engineering.
-
C.
Derby
Derby is a neighborhood within the Brazilian city of Recife, known for its central location and urban character.
-
D.
Derby City
Derby City is a popular nickname for Louisville, Kentucky, reflecting the city's fame as home of the Kentucky Derby horse race.
-
E.
Manchester
Manchester is the most populous city in the U.S. state of New Hampshire and a major economic and cultural center for the region.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc15ad06c8190b6d0babc17015787 |
completed | March 7, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71c8c9b881909b5292110a87301a |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:48 p.m.