Triple
T12970877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcia Wallace |
E321391
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Marcia Karen Wallace
Marcia Karen Wallace was an American actress and comedian best known for voicing Edna Krabappel on the animated television series "The Simpsons."
|
E1017075
|
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: Marcia Karen Wallace | Statement: [Marcia Wallace, fullName, Marcia Karen Wallace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcia Karen Wallace Context triple: [Marcia Wallace, fullName, Marcia Karen Wallace]
-
A.
Marcia Warren
Marcia Warren is an English actress known for her extensive work in television, film, and theatre, often in comedic and character roles.
-
B.
Marcia Rieke
Marcia Rieke is an American astronomer renowned for her leadership in infrared instrumentation and her key role in developing the James Webb Space Telescope.
-
C.
Pamela Wallace
Pamela Wallace is an American screenwriter best known for co-writing the Academy Award–winning film "Witness."
-
D.
Marcia Manon
Marcia Manon was a silent film actress active in the 1910s and 1920s, known for her supporting roles in American dramas and melodramas.
-
E.
Marcia Gresham
Marcia Gresham is a British casting director best known as the mother of actor Daniel Radcliffe.
- 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: Marcia Karen Wallace Triple: [Marcia Wallace, fullName, Marcia Karen Wallace]
Generated description
Marcia Karen Wallace was an American actress and comedian best known for voicing Edna Krabappel on the animated television series "The Simpsons."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcia Karen Wallace Target entity description: Marcia Karen Wallace was an American actress and comedian best known for voicing Edna Krabappel on the animated television series "The Simpsons."
-
A.
Marcia Warren
Marcia Warren is an English actress known for her extensive work in television, film, and theatre, often in comedic and character roles.
-
B.
Marcia Rieke
Marcia Rieke is an American astronomer renowned for her leadership in infrared instrumentation and her key role in developing the James Webb Space Telescope.
-
C.
Pamela Wallace
Pamela Wallace is an American screenwriter best known for co-writing the Academy Award–winning film "Witness."
-
D.
Marcia Manon
Marcia Manon was a silent film actress active in the 1910s and 1920s, known for her supporting roles in American dramas and melodramas.
-
E.
Marcia Gresham
Marcia Gresham is a British casting director best known as the mother of actor Daniel Radcliffe.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbc0b8188190a6a40bb4edf53e25 |
completed | May 3, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69f6cd0d21e08190855dcbee000fc25d |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce6b220c8190b1f49a9b2bfce692 |
completed | May 3, 2026, 4:26 a.m. |
Created at: April 9, 2026, 8:35 p.m.