Triple
T8738085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Coburn |
E207434
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Paula Murad Coburn
Paula Murad Coburn was the second wife of actor James Coburn, known for her work as an actress and for managing and preserving his legacy after his death.
|
E755744
|
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: Paula Murad Coburn | Statement: [James Coburn, spouse, Paula Murad Coburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paula Murad Coburn Context triple: [James Coburn, spouse, Paula Murad Coburn]
-
A.
Anna Kashfi
Anna Kashfi was a British-Indian actress and the first wife of Hollywood star Marlon Brando.
-
B.
Mary Barakat
Mary Barakat is known primarily as the wife of renowned Egyptian film director Henry Barakat.
-
C.
Lila Yacoub
Lila Yacoub is a film producer known for her work on independent features such as Noah Baumbach’s comedy-drama "Mistress America."
-
D.
Riza Aziz
Riza Aziz is a Malaysian film producer and co-founder of Red Granite Pictures, known for financing high-profile Hollywood films and being embroiled in the 1MDB corruption scandal.
-
E.
Farida Jalal
Farida Jalal is a veteran Indian film and television actress known for her versatile character roles and memorable performances across Hindi cinema since the 1960s.
- 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: Paula Murad Coburn Triple: [James Coburn, spouse, Paula Murad Coburn]
Generated description
Paula Murad Coburn was the second wife of actor James Coburn, known for her work as an actress and for managing and preserving his legacy after his death.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paula Murad Coburn Target entity description: Paula Murad Coburn was the second wife of actor James Coburn, known for her work as an actress and for managing and preserving his legacy after his death.
-
A.
Anna Kashfi
Anna Kashfi was a British-Indian actress and the first wife of Hollywood star Marlon Brando.
-
B.
Mary Barakat
Mary Barakat is known primarily as the wife of renowned Egyptian film director Henry Barakat.
-
C.
Lila Yacoub
Lila Yacoub is a film producer known for her work on independent features such as Noah Baumbach’s comedy-drama "Mistress America."
-
D.
Riza Aziz
Riza Aziz is a Malaysian film producer and co-founder of Red Granite Pictures, known for financing high-profile Hollywood films and being embroiled in the 1MDB corruption scandal.
-
E.
Farida Jalal
Farida Jalal is a veteran Indian film and television actress known for her versatile character roles and memorable performances across Hindi cinema since the 1960s.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d470c8c81909ead395ef704c6ba |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42c9140081909f9c10560757c860 |
completed | April 3, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69cf43ead588819094089bea94c27207 |
completed | April 3, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf453fa3e4819082466c59649c2f35 |
completed | April 3, 2026, 4:42 a.m. |
Created at: March 30, 2026, 6:38 p.m.