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.