Triple
T13065306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Rossen |
E329305
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sue Rossen
Sue Rossen was the wife of American film director and screenwriter Robert Rossen.
|
E1077743
|
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: Sue Rossen | Statement: [Robert Rossen, spouse, Sue Rossen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Rossen Context triple: [Robert Rossen, spouse, Sue Rossen]
-
A.
Sue Snyder
Sue Snyder is an American public figure and advocate best known as the wife of former Michigan Governor Rick Snyder and for her involvement in charitable and civic initiatives in the state.
-
B.
Suzanne Diller
Suzanne Diller is the daughter of pioneering American stand-up comedian and actress Phyllis Diller.
-
C.
Marla Sokoloff
Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
-
D.
Sally Greenberg
Sally Greenberg is a consumer rights advocate and attorney who serves as a leading executive of the National Consumers League, focusing on protecting and promoting consumer interests.
-
E.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
- 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: Sue Rossen Triple: [Robert Rossen, spouse, Sue Rossen]
Generated description
Sue Rossen was the wife of American film director and screenwriter Robert Rossen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sue Rossen Target entity description: Sue Rossen was the wife of American film director and screenwriter Robert Rossen.
-
A.
Sue Snyder
Sue Snyder is an American public figure and advocate best known as the wife of former Michigan Governor Rick Snyder and for her involvement in charitable and civic initiatives in the state.
-
B.
Suzanne Diller
Suzanne Diller is the daughter of pioneering American stand-up comedian and actress Phyllis Diller.
-
C.
Marla Sokoloff
Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
-
D.
Sally Greenberg
Sally Greenberg is a consumer rights advocate and attorney who serves as a leading executive of the National Consumers League, focusing on protecting and promoting consumer interests.
-
E.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb63f006c8190997c0f3cdc6efd6c |
completed | May 7, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69fcc4734d388190b4a06799e362cfa9 |
completed | May 7, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc51f30588190bfe6efd1dc84d921 |
completed | May 7, 2026, 5 p.m. |
Created at: April 9, 2026, 8:59 p.m.