Triple
T5470097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armin Hansen |
E122808
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Fleet
"The Fleet" is a prominent maritime painting by American artist Armin Hansen, known for its dynamic depiction of fishing vessels and the rugged life of seafarers.
|
E521875
|
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 Fleet | Statement: [Armin Hansen, notableWork, The Fleet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Fleet Context triple: [Armin Hansen, notableWork, The Fleet]
-
A.
Follow the Fleet
Follow the Fleet is a 1936 Hollywood musical film starring Fred Astaire and Ginger Rogers, known for its dance sequences, romantic comedy plot, and classic Irving Berlin songs.
-
B.
Fleet
Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
-
C.
Fleet
Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
-
D.
Fleet
Fleet is a surname of English origin borne by various notable individuals, including British actor James Fleet.
-
E.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
- 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 Fleet Triple: [Armin Hansen, notableWork, The Fleet]
Generated description
"The Fleet" is a prominent maritime painting by American artist Armin Hansen, known for its dynamic depiction of fishing vessels and the rugged life of seafarers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Fleet Target entity description: "The Fleet" is a prominent maritime painting by American artist Armin Hansen, known for its dynamic depiction of fishing vessels and the rugged life of seafarers.
-
A.
Follow the Fleet
Follow the Fleet is a 1936 Hollywood musical film starring Fred Astaire and Ginger Rogers, known for its dance sequences, romantic comedy plot, and classic Irving Berlin songs.
-
B.
Fleet
Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
-
C.
Fleet
Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
-
D.
Fleet
Fleet is a surname of English origin borne by various notable individuals, including British actor James Fleet.
-
E.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd921b65f48190af7fcf89140f9ba8 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4893029081908a801c7a44872ebf |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf48fd9b188190a6b880ff38b1ac67 |
completed | March 22, 2026, 1:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf496a356081909a425c14dd9c5022 |
completed | March 22, 2026, 1:44 a.m. |
Created at: March 20, 2026, 2:09 p.m.