Triple
T2525266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Johnson |
E56018
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | The Rambler |
E273941
|
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: The Rambler | Statement: [Samuel Johnson, hasWork, The Rambler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Rambler Context triple: [Samuel Johnson, hasWork, The Rambler]
-
A.
The Rambler
chosen
The Rambler is Samuel Johnson’s influential 18th-century periodical of moral and philosophical essays that helped establish his reputation as a leading English man of letters.
-
B.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
C.
Red Duster
The Red Duster is the traditional British civil ensign, a red flag with the Union Jack in the canton historically flown by British merchant ships.
-
D.
Westy
Westy was the widely used nickname of General William Westmoreland, the U.S. Army officer who commanded American forces during the Vietnam War.
-
E.
Silver Comet
The Silver Comet was a streamlined passenger train that operated in the mid-20th century, connecting New York and the southeastern United States as part of the Seaboard Air Line Railroad’s premier services.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2544b4481908e105294cebdbb1f |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cf0939c8190b7f7babc487c43cd |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:46 p.m.