Triple
T7038339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Simonds |
E163442
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Simonds
Simonds is a surname most notably associated with Canadian Lieutenant-General Guy Simonds, a prominent military commander during the Second World War.
|
E636585
|
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: Simonds | Statement: [Guy Simonds, familyName, Simonds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simonds Context triple: [Guy Simonds, familyName, Simonds]
-
A.
Simmonds
Simmonds is a surname most notably associated with Millicent Simmonds, a deaf American actress recognized for her roles in films such as "Wonderstruck" and "A Quiet Place."
-
B.
Symonds
Symonds is the maiden surname of Eliza Grace Symonds Bell, the mother of inventor Alexander Graham Bell.
-
C.
Sansom
Sansom is the surname of Odette Sansom, a celebrated World War II French-born British spy and Special Operations Executive agent.
-
D.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
E.
Simonis
Simonis is a major Brussels Metro interchange station serving multiple lines in the northwest of Brussels, Belgium.
- 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: Simonds Triple: [Guy Simonds, familyName, Simonds]
Generated description
Simonds is a surname most notably associated with Canadian Lieutenant-General Guy Simonds, a prominent military commander during the Second World War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simonds Target entity description: Simonds is a surname most notably associated with Canadian Lieutenant-General Guy Simonds, a prominent military commander during the Second World War.
-
A.
Simmonds
Simmonds is a surname most notably associated with Millicent Simmonds, a deaf American actress recognized for her roles in films such as "Wonderstruck" and "A Quiet Place."
-
B.
Symonds
Symonds is the maiden surname of Eliza Grace Symonds Bell, the mother of inventor Alexander Graham Bell.
-
C.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
D.
Simonis
Simonis is a major Brussels Metro interchange station serving multiple lines in the northwest of Brussels, Belgium.
-
E.
Simmons
Simmons is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, academia, and business.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e223077c819097992089fa83c563 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775ac21888190a1adcf86b49b345f |
completed | March 28, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69c777f9b41881909566511e97725fde |
completed | March 28, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c778717e888190a0b2a5914d13cb71 |
completed | March 28, 2026, 6:42 a.m. |
Created at: March 27, 2026, 2:36 p.m.