Triple
T5829341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Thomson, 1st Baron Thomson of Fleet |
E129305
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Edna Thomson
Edna Thomson was the wife of Canadian-born British newspaper magnate Roy Thomson, 1st Baron Thomson of Fleet.
|
E639610
|
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: Edna Thomson | Statement: [Roy Thomson, 1st Baron Thomson of Fleet, spouse, Edna Thomson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edna Thomson Context triple: [Roy Thomson, 1st Baron Thomson of Fleet, spouse, Edna Thomson]
-
A.
Edna Thompson
Edna Thompson was the wife of legendary American jazz composer and bandleader Duke Ellington.
-
B.
Elsie McMillan
Elsie McMillan was the wife of American physicist and Nobel laureate Edwin McMillan.
-
C.
Edna May Oliver
Edna May Oliver was an American character actress known for her sharp-tongued, comedic roles in 1930s Hollywood films and her distinctive, austere appearance.
-
D.
Mary Elizabeth Aitcheson
Mary Elizabeth Aitcheson is the birth name of Tipper Gore, the American social issues advocate and former Second Lady of the United States.
-
E.
Margaret Johnston
Margaret Johnston was a British actress known for her work on stage and in films during the mid-20th century.
- 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: Edna Thomson Triple: [Roy Thomson, 1st Baron Thomson of Fleet, spouse, Edna Thomson]
Generated description
Edna Thomson was the wife of Canadian-born British newspaper magnate Roy Thomson, 1st Baron Thomson of Fleet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edna Thomson Target entity description: Edna Thomson was the wife of Canadian-born British newspaper magnate Roy Thomson, 1st Baron Thomson of Fleet.
-
A.
Edna Thompson
Edna Thompson was the wife of legendary American jazz composer and bandleader Duke Ellington.
-
B.
Elsie McMillan
Elsie McMillan was the wife of American physicist and Nobel laureate Edwin McMillan.
-
C.
Edna May Oliver
Edna May Oliver was an American character actress known for her sharp-tongued, comedic roles in 1930s Hollywood films and her distinctive, austere appearance.
-
D.
Mary Elizabeth Aitcheson
Mary Elizabeth Aitcheson is the birth name of Tipper Gore, the American social issues advocate and former Second Lady of the United States.
-
E.
Margaret Johnston
Margaret Johnston was a British actress known for her work on stage and in films during the mid-20th century.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346905848190a8f541401da05604 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c787e303108190ab14b67c338b1377 |
completed | March 28, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_69c79052fe1c819093347b6053fd67c8 |
completed | March 28, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7908572308190b651c358b0e88961 |
completed | March 28, 2026, 8:25 a.m. |
Created at: March 22, 2026, 3:54 p.m.