Triple
T795483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L. S. Lowry |
E17010
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Lake
The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
|
E148003
|
NE FINISHED |
How this triple was built (4 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 Lake | Statement: [L. S. Lowry, notableWork, The Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lake Context triple: [L. S. Lowry, notableWork, The Lake]
-
A.
The Lake
The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
-
B.
The Lake
The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
-
C.
Halcyon Lake
Halcyon Lake is a tranquil ornamental pond within Mount Auburn Cemetery in Cambridge, Massachusetts, known for its scenic, reflective waters and surrounding historic landscape.
-
D.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
E.
Lake
Lake is a Chicago Transit Authority 'L' station in the Loop that serves the Red Line subway.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Lake Triple: [L. S. Lowry, notableWork, The Lake]
Generated description
The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Lake Target entity description: The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
-
A.
The Lake
The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
-
B.
The Lake
The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
-
C.
Halcyon Lake
Halcyon Lake is a tranquil ornamental pond within Mount Auburn Cemetery in Cambridge, Massachusetts, known for its scenic, reflective waters and surrounding historic landscape.
-
D.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
E.
Lake
Lake is a Chicago Transit Authority 'L' station in the Loop that serves the Red Line subway.
- F. None of above. chosen
Provenance (5 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b04cd8819092e2fd7ba4df8672 |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acaca531348190b47f98bc825b1307 |
completed | March 7, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69acad2bc82c81909ec4c314e4fe7cc7 |
completed | March 7, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acae0dc4708190bc3a9918391e6739 |
completed | March 7, 2026, 11 p.m. |
Created at: March 1, 2026, 7:38 p.m.