Triple
T2216573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Ondaatje |
E48045
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Linda Spalding
Linda Spalding is a Canadian-American writer and editor known for her award-winning fiction and non-fiction, including works that explore history, identity, and moral complexity.
|
E244909
|
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: Linda Spalding | Statement: [Michael Ondaatje, spouse, Linda Spalding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Spalding Context triple: [Michael Ondaatje, spouse, Linda Spalding]
-
A.
Jennifer Butler
Jennifer Butler was an American costume designer best known for her long-term relationship and marriage to actor Bill Murray.
-
B.
Jane Fulks
Jane Fulks is the birth name of Jane Wyman, the Academy Award–winning American actress and first wife of Ronald Reagan.
-
C.
Caryn Elaine Johnson
Caryn Elaine Johnson is the birth name of Whoopi Goldberg, the acclaimed American actress, comedian, and television host.
-
D.
Lyn Davis
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
-
E.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
- 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: Linda Spalding Triple: [Michael Ondaatje, spouse, Linda Spalding]
Generated description
Linda Spalding is a Canadian-American writer and editor known for her award-winning fiction and non-fiction, including works that explore history, identity, and moral complexity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Spalding Target entity description: Linda Spalding is a Canadian-American writer and editor known for her award-winning fiction and non-fiction, including works that explore history, identity, and moral complexity.
-
A.
Jennifer Butler
Jennifer Butler was an American costume designer best known for her long-term relationship and marriage to actor Bill Murray.
-
B.
Jane Fulks
Jane Fulks is the birth name of Jane Wyman, the Academy Award–winning American actress and first wife of Ronald Reagan.
-
C.
Caryn Elaine Johnson
Caryn Elaine Johnson is the birth name of Whoopi Goldberg, the acclaimed American actress, comedian, and television host.
-
D.
Lyn Davis
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
-
E.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc00f4c3881909d03301fcdfa8b67 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65594c948190a43bdab03e61c130 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65e191f88190a08f96e8ba5f71bb |
completed | March 9, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66590480819093de9e9abf681a6a |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.