Triple
T13803619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhoda |
E331702
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Brenda Morgenstern
Brenda Morgenstern is a supporting character on the television series "Rhoda," known as Rhoda Morgenstern's younger sister.
|
E1132775
|
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: Brenda Morgenstern | Statement: [Rhoda, featuresCharacter, Brenda Morgenstern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brenda Morgenstern Context triple: [Rhoda, featuresCharacter, Brenda Morgenstern]
-
A.
Brenda Rappaport
Brenda Rappaport is a medical researcher associated with the United Kingdom’s National Institute for Medical Research.
-
B.
Linda Gottlieb
Linda Gottlieb is an American film and television producer best known for producing the iconic 1987 romantic drama film "Dirty Dancing."
-
C.
Lorraine Bergman
Lorraine Bergman was the wife of American physicist and Nobel laureate Carl David Anderson.
-
D.
Joanne Brenner
Joanne Brenner is the mother of American actress Alison Brie.
-
E.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
- 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: Brenda Morgenstern Triple: [Rhoda, featuresCharacter, Brenda Morgenstern]
Generated description
Brenda Morgenstern is a supporting character on the television series "Rhoda," known as Rhoda Morgenstern's younger sister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brenda Morgenstern Target entity description: Brenda Morgenstern is a supporting character on the television series "Rhoda," known as Rhoda Morgenstern's younger sister.
-
A.
Brenda Rappaport
Brenda Rappaport is a medical researcher associated with the United Kingdom’s National Institute for Medical Research.
-
B.
Linda Gottlieb
Linda Gottlieb is an American film and television producer best known for producing the iconic 1987 romantic drama film "Dirty Dancing."
-
C.
Lorraine Bergman
Lorraine Bergman was the wife of American physicist and Nobel laureate Carl David Anderson.
-
D.
Joanne Brenner
Joanne Brenner is the mother of American actress Alison Brie.
-
E.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db6187c8190969b035bc2813413 |
completed | May 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fe9e41de7c8190a2c2ce525d04fb49 |
completed | May 9, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9edd6fac8190907cdadb0de02d63 |
completed | May 9, 2026, 2:41 a.m. |
Created at: April 9, 2026, 10:12 p.m.