Triple
T7773421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn Miller |
E179127
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Burger
Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
|
E687765
|
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: Helen Burger | Statement: [Glenn Miller, spouse, Helen Burger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Burger Context triple: [Glenn Miller, spouse, Helen Burger]
-
A.
Vera D. Burger
Vera D. Burger was the wife of Warren E. Burger, the 15th Chief Justice of the United States.
-
B.
Mary Cox
Mary Cox is a central character in the British television drama "Our Friends in the North," whose life and relationships reflect the social and political changes in late 20th-century Britain.
-
C.
Myrtle Gruenert
Myrtle Gruenert was the wife of Australian speech therapist Lionel Logue, who famously treated King George VI.
-
D.
Florence Rice
Florence Rice was an American film and stage actress active in the 1930s and 1940s, known for her supporting roles in Hollywood musicals and comedies.
-
E.
Ruth Buzzi
Ruth Buzzi is an American comedienne and actress best known for her zany, character-driven sketch comedy work on television in the late 1960s and 1970s.
- 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: Helen Burger Triple: [Glenn Miller, spouse, Helen Burger]
Generated description
Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Burger Target entity description: Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
-
A.
Vera D. Burger
Vera D. Burger was the wife of Warren E. Burger, the 15th Chief Justice of the United States.
-
B.
Mary Cox
Mary Cox is a central character in the British television drama "Our Friends in the North," whose life and relationships reflect the social and political changes in late 20th-century Britain.
-
C.
Myrtle Gruenert
Myrtle Gruenert was the wife of Australian speech therapist Lionel Logue, who famously treated King George VI.
-
D.
Florence Rice
Florence Rice was an American film and stage actress active in the 1930s and 1940s, known for her supporting roles in Hollywood musicals and comedies.
-
E.
Ruth Buzzi
Ruth Buzzi is an American comedienne and actress best known for her zany, character-driven sketch comedy work on television in the late 1960s and 1970s.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70461b3e48190bf1e4d4f9e6bb08e |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ee407881908e591d216c504b24 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8b84f88819086ecd371b62e2b5b |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c917a1308190ab2c8e70d6ed8c0e |
completed | March 29, 2026, 6:39 a.m. |
Created at: March 27, 2026, 4:11 p.m.