Triple
T15913641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Weese |
E385910
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Weese
Weese is a surname most notably associated with American architect and preservationist Harry Weese.
|
E1182644
|
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: Weese | Statement: [Harry Weese, familyName, Weese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weese Context triple: [Harry Weese, familyName, Weese]
-
A.
Maniwaki
Maniwaki is a small town in western Quebec, Canada, known as a regional service center in the Upper Gatineau Valley with strong Indigenous and logging heritage.
-
B.
Coaticook
Coaticook is a small town in southeastern Quebec, Canada, known for its picturesque gorge, historic covered bridge, and popular dairy products.
-
C.
Leduc
Leduc is a city in central Alberta, Canada, located just south of Edmonton and known for its role as a regional service and transportation hub.
-
D.
Angrignon
Angrignon is a Montreal Metro station in the city's southwest that serves as the western terminus of the Green Line and a gateway to the adjacent Angrignon Park and surrounding residential areas.
-
E.
Portneuf
Portneuf is a regional county municipality in the Capitale-Nationale region of Quebec, Canada, known for its rural landscapes, small towns, and outdoor recreational activities.
- 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: Weese Triple: [Harry Weese, familyName, Weese]
Generated description
Weese is a surname most notably associated with American architect and preservationist Harry Weese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weese Target entity description: Weese is a surname most notably associated with American architect and preservationist Harry Weese.
-
A.
Maniwaki
Maniwaki is a small town in western Quebec, Canada, known as a regional service center in the Upper Gatineau Valley with strong Indigenous and logging heritage.
-
B.
Coaticook
Coaticook is a small town in southeastern Quebec, Canada, known for its picturesque gorge, historic covered bridge, and popular dairy products.
-
C.
Leduc
Leduc is a city in central Alberta, Canada, located just south of Edmonton and known for its role as a regional service and transportation hub.
-
D.
Angrignon
Angrignon is a Montreal Metro station in the city's southwest that serves as the western terminus of the Green Line and a gateway to the adjacent Angrignon Park and surrounding residential areas.
-
E.
Portneuf
Portneuf is a regional county municipality in the Capitale-Nationale region of Quebec, Canada, known for its rural landscapes, small towns, and outdoor recreational activities.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15661046c819097a53de2a3e0443b |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0592b5c8190a4597644864a6bcb |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb0ef7f3081908744a759bb3e4e8c |
completed | May 9, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1dbd7d08190b84ae201e0866139 |
completed | May 9, 2026, 10:14 p.m. |
Created at: April 10, 2026, 4:52 a.m.