Triple
T16878395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonnie Donegan |
E421354
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Maureen Tyler
Maureen Tyler is best known as the wife of British skiffle musician Lonnie Donegan.
|
E1346105
|
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: Maureen Tyler | Statement: [Lonnie Donegan, spouse, Maureen Tyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maureen Tyler Context triple: [Lonnie Donegan, spouse, Maureen Tyler]
-
A.
Maureen Weeks
Maureen Weeks is an Australian parliamentary official who has served as the Clerk of the Senate, the chief procedural and administrative adviser to the upper house of the Australian Parliament.
-
B.
Maureen Garrett
Maureen Garrett is an American actress best known for her long-running role as Holly Norris on the soap opera "Guiding Light."
-
C.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
D.
Marilyn Rowe
Marilyn Rowe is a distinguished Australian ballerina and former principal dancer renowned for her long and influential career with The Australian Ballet.
-
E.
Joan O’Brien
Joan O’Brien is an American actress and singer best known for her film roles in the late 1950s and early 1960s, including appearances opposite stars like Cary Grant and Elvis Presley.
- 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: Maureen Tyler Triple: [Lonnie Donegan, spouse, Maureen Tyler]
Generated description
Maureen Tyler is best known as the wife of British skiffle musician Lonnie Donegan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maureen Tyler Target entity description: Maureen Tyler is best known as the wife of British skiffle musician Lonnie Donegan.
-
A.
Maureen Weeks
Maureen Weeks is an Australian parliamentary official who has served as the Clerk of the Senate, the chief procedural and administrative adviser to the upper house of the Australian Parliament.
-
B.
Maureen Garrett
Maureen Garrett is an American actress best known for her long-running role as Holly Norris on the soap opera "Guiding Light."
-
C.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
D.
Marilyn Rowe
Marilyn Rowe is a distinguished Australian ballerina and former principal dancer renowned for her long and influential career with The Australian Ballet.
-
E.
Joan O’Brien
Joan O’Brien is an American actress and singer best known for her film roles in the late 1950s and early 1960s, including appearances opposite stars like Cary Grant and Elvis Presley.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f8a1d48190ad829f86e235a1d0 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05674f1c708190aff7078618067fa6 |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a056d27afe0819092716cd60598ba94 |
completed | May 14, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056deac2708190b6164b6861956cd9 |
completed | May 14, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:29 a.m.