Triple
T5189428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Bellamy |
E117112
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Alice Murphy
Alice Murphy is known as the wife of American actor Ralph Bellamy, a prominent figure in classic Hollywood cinema.
|
E501958
|
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: Alice Murphy | Statement: [Ralph Bellamy, spouse, Alice Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Murphy Context triple: [Ralph Bellamy, spouse, Alice Murphy]
-
A.
Marylouise Burke
Marylouise Burke is an American character actress known for her work in film, television, and on Broadway, often portraying quirky, comedic supporting roles.
-
B.
Cynthia Mort
Cynthia Mort is an American screenwriter, director, and producer known for her work in film and television, including projects like "The Brave One" and the biographical drama "Nina."
-
C.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
D.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
-
E.
Dorothy Malone
Dorothy Malone was an American film and television actress best known for her Oscar-winning role in "Written on the Wind" and her later work on the TV series "Peyton Place."
- 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: Alice Murphy Triple: [Ralph Bellamy, spouse, Alice Murphy]
Generated description
Alice Murphy is known as the wife of American actor Ralph Bellamy, a prominent figure in classic Hollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alice Murphy Target entity description: Alice Murphy is known as the wife of American actor Ralph Bellamy, a prominent figure in classic Hollywood cinema.
-
A.
Marylouise Burke
Marylouise Burke is an American character actress known for her work in film, television, and on Broadway, often portraying quirky, comedic supporting roles.
-
B.
Cynthia Mort
Cynthia Mort is an American screenwriter, director, and producer known for her work in film and television, including projects like "The Brave One" and the biographical drama "Nina."
-
C.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
D.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
-
E.
Dorothy Malone
Dorothy Malone was an American film and television actress best known for her Oscar-winning role in "Written on the Wind" and her later work on the TV series "Peyton Place."
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c732b48190af62dfffcbc5e3a6 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee08dfe648190a98b5a61f857d593 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee66191dc8190847fe13f2cda0000 |
completed | March 21, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6e8bbcc819094f5f04743eb4013 |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:46 p.m.