Triple
T4623666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Warplane Heritage Museum |
E101043
|
entity |
| Predicate | hasNotableAircraft |
P31176
|
FINISHED |
| Object |
Fleet Finch
The Fleet Finch is a Canadian-built biplane trainer aircraft widely used by the Royal Canadian Air Force during the Second World War for elementary pilot training.
|
E457020
|
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: Fleet Finch | Statement: [Canadian Warplane Heritage Museum, hasNotableAircraft, Fleet Finch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleet Finch Context triple: [Canadian Warplane Heritage Museum, hasNotableAircraft, Fleet Finch]
-
A.
Farris
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
-
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.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
-
E.
Fisher
Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
- 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: Fleet Finch Triple: [Canadian Warplane Heritage Museum, hasNotableAircraft, Fleet Finch]
Generated description
The Fleet Finch is a Canadian-built biplane trainer aircraft widely used by the Royal Canadian Air Force during the Second World War for elementary pilot training.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fleet Finch Target entity description: The Fleet Finch is a Canadian-built biplane trainer aircraft widely used by the Royal Canadian Air Force during the Second World War for elementary pilot training.
-
A.
Farris
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
-
B.
Fleet
Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
-
C.
Fleet
Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
-
D.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
-
E.
Fisher
Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a06d6248190a613be9784dd1ef4 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaa069388190b6482315708b85c2 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb9422e48190819d5d99e72e8854 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc6ac91c819090776365d3dc05d4 |
completed | March 21, 2026, 2:03 a.m. |
Created at: March 20, 2026, 1:13 p.m.