Triple
T9519184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorne Greene |
E229602
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nancy Deale
Nancy Deale was an American actress and the wife of Canadian actor Lorne Greene, known for her work in film and television during the mid-20th century.
|
E928474
|
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: Nancy Deale | Statement: [Lorne Greene, spouse, Nancy Deale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Deale Context triple: [Lorne Greene, spouse, Nancy Deale]
-
A.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
B.
Donna Deegan
Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
-
C.
Nancy Sullivan
Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
-
D.
Nancy Birch
Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
-
E.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
- 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: Nancy Deale Triple: [Lorne Greene, spouse, Nancy Deale]
Generated description
Nancy Deale was an American actress and the wife of Canadian actor Lorne Greene, known for her work in film and television during the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Deale Target entity description: Nancy Deale was an American actress and the wife of Canadian actor Lorne Greene, known for her work in film and television during the mid-20th century.
-
A.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
B.
Donna Deegan
Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
-
C.
Nancy Sullivan
Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
-
D.
Nancy Birch
Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
-
E.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9881e0f081909a0177cedc2e8b95 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6035cf86081909603cec9aa5bd9d6 |
completed | April 20, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_69e610a07bf881908de79850edb9576f |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e617fdaaa88190a1860fb00309596b |
completed | April 20, 2026, 12:11 p.m. |
Created at: March 30, 2026, 7:59 p.m.