Triple
T10316610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yankee Doodle Dandy |
E242032
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Irene Manning
Irene Manning was an American actress and singer best known for her roles in 1940s Hollywood musicals and films.
|
E868894
|
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: Irene Manning | Statement: [Yankee Doodle Dandy, starred, Irene Manning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irene Manning Context triple: [Yankee Doodle Dandy, starred, Irene Manning]
-
A.
Eileen Shearer
Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
-
B.
Irene Hervey
Irene Hervey was an American film and television actress active from the 1930s through the 1960s, known for her versatile supporting roles in dramas, thrillers, and comedies.
-
C.
Maureen Earl
Maureen Earl is best known as the wife of American novelist Clifford Irving, who gained notoriety for his fraudulent "autobiography" of Howard Hughes.
-
D.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
-
E.
Eileen Wilson
Eileen Wilson was the first wife of classic Hollywood actor William Powell, with whom she had a son before their marriage ended in divorce.
- 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: Irene Manning Triple: [Yankee Doodle Dandy, starred, Irene Manning]
Generated description
Irene Manning was an American actress and singer best known for her roles in 1940s Hollywood musicals and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irene Manning Target entity description: Irene Manning was an American actress and singer best known for her roles in 1940s Hollywood musicals and films.
-
A.
Eileen Shearer
Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
-
B.
Irene Hervey
Irene Hervey was an American film and television actress active from the 1930s through the 1960s, known for her versatile supporting roles in dramas, thrillers, and comedies.
-
C.
Maureen Earl
Maureen Earl is best known as the wife of American novelist Clifford Irving, who gained notoriety for his fraudulent "autobiography" of Howard Hughes.
-
D.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
-
E.
Eileen Wilson
Eileen Wilson was the first wife of classic Hollywood actor William Powell, with whom she had a son before their marriage ended in divorce.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d35cf8cc819084dd472f22d604be |
completed | April 7, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d66ae248190b8af31b032f9f857 |
completed | April 10, 2026, 2:47 p.m. |
| NEDg | Description generation | batch_69d9107c75108190994939ab46aa642f |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9154c922c81909991f87f89c083cd |
completed | April 10, 2026, 3:20 p.m. |
Created at: April 6, 2026, 11:49 a.m.