Triple
T11083913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marilyn Miller |
E262068
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sally
"Sally" is a 1929 American musical film adaptation of the Broadway stage musical, known for its song-and-dance numbers and starring Marilyn Miller in one of her most famous screen roles.
|
E903931
|
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: Sally | Statement: [Marilyn Miller, notableWork, Sally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Context triple: [Marilyn Miller, notableWork, Sally]
-
A.
Sally
Sally is the given name of English actress Sally Hawkins, known for her acclaimed performances in films such as "Happy-Go-Lucky" and "The Shape of Water."
-
B.
Sally
Sally is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine army bomber used extensively during World War II.
-
C.
Sally
Sally is one of the young children who serve as primary protagonists in Dr. Seuss's classic children's book "The Cat in the Hat."
-
D.
Sally
"Sally" is a comedic stage play by British-American playwright Guy Bolton, known for its lighthearted plot and contribution to early 20th-century musical theatre.
-
E.
Sally
Sally is the given name of English actress and singer Sally Ann Howes, best known for her role in the film "Chitty Chitty Bang Bang."
- 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: Sally Triple: [Marilyn Miller, notableWork, Sally]
Generated description
"Sally" is a 1929 American musical film adaptation of the Broadway stage musical, known for its song-and-dance numbers and starring Marilyn Miller in one of her most famous screen roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sally Target entity description: "Sally" is a 1929 American musical film adaptation of the Broadway stage musical, known for its song-and-dance numbers and starring Marilyn Miller in one of her most famous screen roles.
-
A.
Sally
"Sally" is a comedic stage play by British-American playwright Guy Bolton, known for its lighthearted plot and contribution to early 20th-century musical theatre.
-
B.
Sally
"Sally" is a studio album by American actress and singer Sally Kellerman, showcasing her distinctive, smoky vocal style in a collection of jazz- and pop-influenced songs.
-
C.
Sally
Sally is the given name of English actress and singer Sally Ann Howes, best known for her role in the film "Chitty Chitty Bang Bang."
-
D.
Sally
Sally is the given name of the acclaimed American actress and director Sally Field.
-
E.
Sally
Sally is the given name of English actress Sally Hawkins, known for her acclaimed performances in films such as "Happy-Go-Lucky" and "The Shape of Water."
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c0cc3081908448cfb26c08daf5 |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e79854c88190bda69cfbe4ae9d1e |
completed | April 18, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69e3f2cafc008190a3504999297f1e4e |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f488819081908f9a4225279cde6b |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:27 p.m.