Triple
T9098489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Alda |
E218088
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Joan Browne
Joan Browne was the wife of American actor and singer Robert Alda.
|
E799977
|
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: Joan Browne | Statement: [Robert Alda, spouse, Joan Browne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Browne Context triple: [Robert Alda, spouse, Joan Browne]
-
A.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
B.
Joan Goushill
Joan Goushill was an English noblewoman of the late medieval period, notable as the mother of Thomas Stanley, 1st Earl of Derby, and for her connections to prominent aristocratic families.
-
C.
Joan Barclay
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
-
D.
Joan Haverty
Joan Haverty was an American woman best known as the second wife of Beat Generation writer Jack Kerouac and the mother of his only acknowledged child, Jan Kerouac.
-
E.
Joan McCracken
Joan McCracken was an American actress and dancer known for her comic talent and influential work in mid-20th-century Broadway musicals.
- 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: Joan Browne Triple: [Robert Alda, spouse, Joan Browne]
Generated description
Joan Browne was the wife of American actor and singer Robert Alda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan Browne Target entity description: Joan Browne was the wife of American actor and singer Robert Alda.
-
A.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
B.
Joan Goushill
Joan Goushill was an English noblewoman of the late medieval period, notable as the mother of Thomas Stanley, 1st Earl of Derby, and for her connections to prominent aristocratic families.
-
C.
Joan Barclay
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
-
D.
Joan Haverty
Joan Haverty was an American woman best known as the second wife of Beat Generation writer Jack Kerouac and the mother of his only acknowledged child, Jan Kerouac.
-
E.
Joan McCracken
Joan McCracken was an American actress and dancer known for her comic talent and influential work in mid-20th-century Broadway musicals.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc970f340881909f5551219f151acf |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1100ccc888190a80f4b73b336c1ad |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d112b25d1081908d47f2732f308b99 |
completed | April 4, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d113132830819098380755fe8232a7 |
completed | April 4, 2026, 1:33 p.m. |
Created at: March 30, 2026, 7:15 p.m.