Triple
T753522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir John Soane |
E15501
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Pell Wall Hall
Pell Wall Hall is a Regency-era country house in Shropshire, England, designed by the renowned neoclassical architect Sir John Soane.
|
E91001
|
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: Pell Wall Hall | Statement: [Sir John Soane, notableWork, Pell Wall Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pell Wall Hall Context triple: [Sir John Soane, notableWork, Pell Wall Hall]
-
A.
Lawrance Hall
Lawrance Hall is an academic building located on Yale University's historic Old Campus.
-
B.
Arhat Hall
Arhat Hall is a renowned Buddhist hall within Guiyuan Temple, famous for its numerous life-sized statues of arhats (enlightened disciples) arranged for worship and contemplation.
-
C.
Bingham Hall
Bingham Hall is a historic Yale University dormitory located on the Old Campus in New Haven, Connecticut.
-
D.
North Hall
North Hall is a section of the Mausoleum of Mao Zedong in Beijing, China, forming part of the memorial complex dedicated to the founding leader of the People's Republic of China.
-
E.
Langdell Hall
Langdell Hall is the main library and iconic central building of Harvard Law School, housing one of the largest academic law collections in the world.
- 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: Pell Wall Hall Triple: [Sir John Soane, notableWork, Pell Wall Hall]
Generated description
Pell Wall Hall is a Regency-era country house in Shropshire, England, designed by the renowned neoclassical architect Sir John Soane.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pell Wall Hall Target entity description: Pell Wall Hall is a Regency-era country house in Shropshire, England, designed by the renowned neoclassical architect Sir John Soane.
-
A.
Lawrance Hall
Lawrance Hall is an academic building located on Yale University's historic Old Campus.
-
B.
Arhat Hall
Arhat Hall is a renowned Buddhist hall within Guiyuan Temple, famous for its numerous life-sized statues of arhats (enlightened disciples) arranged for worship and contemplation.
-
C.
Bingham Hall
Bingham Hall is a historic Yale University dormitory located on the Old Campus in New Haven, Connecticut.
-
D.
North Hall
North Hall is a section of the Mausoleum of Mao Zedong in Beijing, China, forming part of the memorial complex dedicated to the founding leader of the People's Republic of China.
-
E.
Langdell Hall
Langdell Hall is the main library and iconic central building of Harvard Law School, housing one of the largest academic law collections in the world.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64ecadc8190a82e25444e7abba6 |
completed | March 1, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66671ebd48190a785be0ae0d3588c |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a666ded0288190a43e8a13db4f6914 |
completed | March 3, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a667b8de2c819092f9a4c10abeeb56 |
completed | March 3, 2026, 4:46 a.m. |
Created at: March 1, 2026, 7:37 p.m.