Triple
T8556937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Farquharson |
E202593
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object |
South Hall
South Hall is a building designed by Scottish architect David Farquharson, noted for his work in the late 19th and early 20th centuries.
|
E743256
|
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: South Hall | Statement: [David Farquharson, designed, South Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Hall Context triple: [David Farquharson, designed, South Hall]
-
A.
South Hall
South Hall is one of the main academic buildings on the University of California, Berkeley campus, housing classrooms, offices, and university departments.
-
B.
South Hall
South Hall is a section of the Mausoleum of Mao Zedong in Beijing, forming part of the memorial complex dedicated to China's former leader.
-
C.
South Hall
South Hall is a major exhibition hall within the Los Angeles Convention Center complex, commonly used for large trade shows, conventions, and public events.
-
D.
Loomis Hall
Loomis Hall is a building on the Yale University campus that houses the university’s Department of Mathematics.
-
E.
Devlin Hall
Devlin Hall is a historic academic building on Boston College’s Chestnut Hill campus, known for housing classrooms and faculty offices.
- 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: South Hall Triple: [David Farquharson, designed, South Hall]
Generated description
South Hall is a building designed by Scottish architect David Farquharson, noted for his work in the late 19th and early 20th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Hall Target entity description: South Hall is a building designed by Scottish architect David Farquharson, noted for his work in the late 19th and early 20th centuries.
-
A.
South Hall
South Hall is one of the main academic buildings on the University of California, Berkeley campus, housing classrooms, offices, and university departments.
-
B.
South Hall
South Hall is a section of the Mausoleum of Mao Zedong in Beijing, forming part of the memorial complex dedicated to China's former leader.
-
C.
South Hall
South Hall is a major exhibition hall within the Los Angeles Convention Center complex, commonly used for large trade shows, conventions, and public events.
-
D.
Loomis Hall
Loomis Hall is a building on the Yale University campus that houses the university’s Department of Mathematics.
-
E.
Devlin Hall
Devlin Hall is a historic academic building on Boston College’s Chestnut Hill campus, known for housing classrooms and faculty offices.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe946d1408190adc7dfb7b2173f9d |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce893b24c0819094fead15749fe1ee |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8a9ba0448190ae7637f24b8a8032 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bda33548190a8f6985a48d65a39 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:20 p.m.