Triple
T1046420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Harvey Girls |
E22588
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object |
Susan Bradley
Susan Bradley is the optimistic young woman who becomes a waitress and romantic lead in the classic MGM musical film "The Harvey Girls."
|
E182068
|
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: Susan Bradley | Statement: [The Harvey Girls, leadCharacter, Susan Bradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Bradley Context triple: [The Harvey Girls, leadCharacter, Susan Bradley]
-
A.
Emily Warren
Emily Warren was an American engineer and women’s rights advocate best known for her crucial role in overseeing the completion of the Brooklyn Bridge in the late 19th century.
-
B.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
C.
April H. Foley
April H. Foley is an American diplomat and public servant best known for serving as the U.S. Ambassador to Hungary.
-
D.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
E.
Constance Casey
Constance Casey is an American writer and journalist known for her essays and columns, and she is married to Nobel Prize–winning scientist Harold Varmus.
- 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: Susan Bradley Triple: [The Harvey Girls, leadCharacter, Susan Bradley]
Generated description
Susan Bradley is the optimistic young woman who becomes a waitress and romantic lead in the classic MGM musical film "The Harvey Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Bradley Target entity description: Susan Bradley is the optimistic young woman who becomes a waitress and romantic lead in the classic MGM musical film "The Harvey Girls."
-
A.
Emily Warren
Emily Warren was an American engineer and women’s rights advocate best known for her crucial role in overseeing the completion of the Brooklyn Bridge in the late 19th century.
-
B.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
C.
April H. Foley
April H. Foley is an American diplomat and public servant best known for serving as the U.S. Ambassador to Hungary.
-
D.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
E.
Constance Casey
Constance Casey is an American writer and journalist known for her essays and columns, and she is married to Nobel Prize–winning scientist Harold Varmus.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84bb0048190badf6d2f7f684d99 |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad519194988190bb0eb59e7fa34dea |
completed | March 8, 2026, 10:38 a.m. |
| NEDg | Description generation | batch_69ad52005fc081908655d157d1d99343 |
completed | March 8, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad526b49f48190a7bf00ad82941dbf |
completed | March 8, 2026, 10:41 a.m. |
Created at: March 1, 2026, 7:42 p.m.