Triple
T13117264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angus Deaton |
E311125
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anne Case
Anne Case is an American economist and professor emerita at Princeton University, known for her influential work on health, inequality, and the "deaths of despair" phenomenon.
|
E1022247
|
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: Anne Case | Statement: [Angus Deaton, spouse, Anne Case]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Case Context triple: [Angus Deaton, spouse, Anne Case]
-
A.
Anne Caldwell
Anne Caldwell is an author known for writing the book "Sunny."
-
B.
Amy E. Duddleston
Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
-
C.
Emily Sears
Emily Sears was the wife of U.S. Senator and diplomat Henry Cabot Lodge Jr., known primarily for her role as his spouse within a prominent American political family.
-
D.
Susan A. Houghton
Susan A. Houghton was the wife of American inventor Elisha Otis, known for his development of the safety elevator.
-
E.
Suzanne Farrington
Suzanne Farrington was the only child of legendary British actress Vivien Leigh, known primarily for her connection to her famous mother and her largely private life outside the film industry.
- 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: Anne Case Triple: [Angus Deaton, spouse, Anne Case]
Generated description
Anne Case is an American economist and professor emerita at Princeton University, known for her influential work on health, inequality, and the "deaths of despair" phenomenon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Case Target entity description: Anne Case is an American economist and professor emerita at Princeton University, known for her influential work on health, inequality, and the "deaths of despair" phenomenon.
-
A.
Anne Caldwell
Anne Caldwell is an author known for writing the book "Sunny."
-
B.
Amy E. Duddleston
Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
-
C.
Emily Sears
Emily Sears was the wife of U.S. Senator and diplomat Henry Cabot Lodge Jr., known primarily for her role as his spouse within a prominent American political family.
-
D.
Susan A. Houghton
Susan A. Houghton was the wife of American inventor Elisha Otis, known for his development of the safety elevator.
-
E.
Suzanne Farrington
Suzanne Farrington was the only child of legendary British actress Vivien Leigh, known primarily for her connection to her famous mother and her largely private life outside the film industry.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98182011c8190a504678affbb7787 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e284c3c881909d65e2ba89fbe7af |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e383dd8c8190872304c99b753152 |
completed | May 3, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e47b052c8190a6f6ca5a6bd210f5 |
completed | May 3, 2026, 6 a.m. |
Created at: April 9, 2026, 9:06 p.m.