Triple
T1564444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Holbrook |
E33399
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Carol Eve Rossen
Carol Eve Rossen is an American actress known for her work in film and television and for her former marriage to actor Hal Holbrook.
|
E219815
|
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: Carol Eve Rossen | Statement: [Hal Holbrook, spouse, Carol Eve Rossen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Eve Rossen Context triple: [Hal Holbrook, spouse, Carol Eve Rossen]
-
A.
Doris Neustadt
Doris Neustadt was a benefactor and namesake of the prestigious Neustadt International Prize for Literature, recognized for her support of literary arts.
-
B.
Marjorie Leonard Brennan
Marjorie Leonard Brennan was the wife of U.S. Supreme Court Justice William J. Brennan Jr.
-
C.
Barbara Robbins
Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
-
D.
Esther Bubley
Esther Bubley was an American documentary photographer best known for her intimate, human-centered images of everyday life in mid-20th-century America, particularly during and after World War II.
-
E.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
- 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: Carol Eve Rossen Triple: [Hal Holbrook, spouse, Carol Eve Rossen]
Generated description
Carol Eve Rossen is an American actress known for her work in film and television and for her former marriage to actor Hal Holbrook.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carol Eve Rossen Target entity description: Carol Eve Rossen is an American actress known for her work in film and television and for her former marriage to actor Hal Holbrook.
-
A.
Doris Neustadt
Doris Neustadt was a benefactor and namesake of the prestigious Neustadt International Prize for Literature, recognized for her support of literary arts.
-
B.
Marjorie Leonard Brennan
Marjorie Leonard Brennan was the wife of U.S. Supreme Court Justice William J. Brennan Jr.
-
C.
Barbara Robbins
Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
-
D.
Esther Bubley
Esther Bubley was an American documentary photographer best known for her intimate, human-centered images of everyday life in mid-20th-century America, particularly during and after World War II.
-
E.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621242188190a7e1deeada7688d8 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb90e16081908d70df182b7efb8a |
completed | March 8, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69adfc81697c8190b0dd847649f28923 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfdc8a7f481909b2ee0b4444cf4b9 |
completed | March 8, 2026, 10:52 p.m. |
Created at: March 4, 2026, 7:27 p.m.