Triple
T12660326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Dane |
E302404
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Red Mill |
E491727
|
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 Red Mill | Statement: [Karl Dane, notableWork, The Red Mill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Red Mill Context triple: [Karl Dane, notableWork, The Red Mill]
-
A.
The Red Mill
chosen
The Red Mill is a 1906 Broadway comic operetta with music by Victor Herbert that became one of his most popular and frequently revived stage works.
-
B.
The Secret of the Old Mill
The Secret of the Old Mill is an early mystery novel in the Hardy Boys series in which teenage sleuths Frank and Joe Hardy investigate counterfeit money and strange happenings at a local mill.
-
C.
Red Mill
Red Mill is the English name for the famous Parisian cabaret "Moulin Rouge," renowned for its iconic red windmill and can-can performances.
-
D.
The Ghost in the Mill
"The Ghost in the Mill" is a short ghost story by Harriet Beecher Stowe that blends New England folklore with moral and religious themes.
-
E.
Coming from the Mill
Coming from the Mill is a famous industrial landscape painting by L. S. Lowry depicting crowds of workers leaving a factory in a stylized, northern English mill town scene.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66885e44c8190a650301b0e86d0f4 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:19 p.m.