Triple
T8665845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Malden |
E205671
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mona Greenberg
Mona Greenberg was the longtime wife of acclaimed American actor Karl Malden.
|
E776896
|
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: Mona Greenberg | Statement: [Karl Malden, spouse, Mona Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mona Greenberg Context triple: [Karl Malden, spouse, Mona Greenberg]
-
A.
Nora Grossman
Nora Grossman is a film producer best known for her work on the acclaimed historical drama "The Imitation Game."
-
B.
Arline Greenbaum
Arline Greenbaum was the first wife of physicist Richard Feynman, remembered for their deeply devoted relationship during her struggle with tuberculosis in the 1940s.
-
C.
Susanna Fogel
Susanna Fogel is an American filmmaker and screenwriter known for directing sharp, character-driven comedies and dramedies, often centered on complex female friendships and offbeat humor.
-
D.
Sally Grossman
Sally Grossman was an American figure in the 1960s folk and rock scene, best known for appearing on the iconic cover of Bob Dylan’s album "Bringing It All Back Home."
-
E.
Carol Mendelsohn
Carol Mendelsohn is an American television producer and writer best known for her influential work shaping the CSI franchise and modern crime procedural dramas.
- 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: Mona Greenberg Triple: [Karl Malden, spouse, Mona Greenberg]
Generated description
Mona Greenberg was the longtime wife of acclaimed American actor Karl Malden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mona Greenberg Target entity description: Mona Greenberg was the longtime wife of acclaimed American actor Karl Malden.
-
A.
Nora Grossman
Nora Grossman is a film producer best known for her work on the acclaimed historical drama "The Imitation Game."
-
B.
Arline Greenbaum
Arline Greenbaum was the first wife of physicist Richard Feynman, remembered for their deeply devoted relationship during her struggle with tuberculosis in the 1940s.
-
C.
Susanna Fogel
Susanna Fogel is an American filmmaker and screenwriter known for directing sharp, character-driven comedies and dramedies, often centered on complex female friendships and offbeat humor.
-
D.
Sally Grossman
Sally Grossman was an American figure in the 1960s folk and rock scene, best known for appearing on the iconic cover of Bob Dylan’s album "Bringing It All Back Home."
-
E.
Carol Mendelsohn
Carol Mendelsohn is an American television producer and writer best known for her influential work shaping the CSI franchise and modern crime procedural dramas.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a1dd1481908c56abca48fcd562 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d016e84df4819092b442216a5f6c9e |
completed | April 3, 2026, 7:37 p.m. |
| NEDg | Description generation | batch_69d019059e8481909a696575366aa0b6 |
completed | April 3, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019a2736c8190880c8f3786cf353b |
completed | April 3, 2026, 7:48 p.m. |
Created at: March 30, 2026, 6:31 p.m.