Triple

T529636
Position Surface form Disambiguated ID Type / Status
Subject Singin' in the Rain E10996 entity
Predicate mainCharacter P1183 FINISHED
Object Lina Lamont
Lina Lamont is a comically vain, shrill-voiced silent film star whose struggle to adapt to talking pictures drives much of the humor and conflict in the classic musical film "Singin' in the Rain."
 E91871 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: Lina Lamont | Statement: [Singin' in the Rain, mainCharacter, Lina Lamont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lina Lamont
Context triple: [Singin' in the Rain, mainCharacter, Lina Lamont]
  • A. Faye Emerson
    Faye Emerson was an American film and stage actress who became a popular early television personality in the 1940s and 1950s.
  • B. Laura Lyons
    Laura Lyons is the mother of American fashion model Lily Aldridge.
  • C. Linda
    Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
  • D. Marla Maples
    Marla Maples is an American actress and television personality best known for her high-profile marriage to businessman and future U.S. President Donald Trump in the 1990s.
  • E. Mary Lee Ware
    Mary Lee Ware was an American philanthropist and patron of science best known for financing Harvard University’s famous Blaschka Glass Models of Plants (the “Glass Flowers”).
  • 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: Lina Lamont
Triple: [Singin' in the Rain, mainCharacter, Lina Lamont]
Generated description
Lina Lamont is a comically vain, shrill-voiced silent film star whose struggle to adapt to talking pictures drives much of the humor and conflict in the classic musical film "Singin' in the Rain."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lina Lamont
Target entity description: Lina Lamont is a comically vain, shrill-voiced silent film star whose struggle to adapt to talking pictures drives much of the humor and conflict in the classic musical film "Singin' in the Rain."
  • A. Faye Emerson
    Faye Emerson was an American film and stage actress who became a popular early television personality in the 1940s and 1950s.
  • B. Laura Lyons
    Laura Lyons is the mother of American fashion model Lily Aldridge.
  • C. Linda
    Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
  • D. Marla Maples
    Marla Maples is an American actress and television personality best known for her high-profile marriage to businessman and future U.S. President Donald Trump in the 1990s.
  • E. Mary Lee Ware
    Mary Lee Ware was an American philanthropist and patron of science best known for financing Harvard University’s famous Blaschka Glass Models of Plants (the “Glass Flowers”).
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d4984c8190ac372171b16bb5e4 completed Feb. 28, 2026, 1:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d8a3b408190a3851c79aee5e972 completed March 3, 2026, 5:11 a.m.
NEDg Description generation batch_69a66df8ed688190863df45bc46ef4ba completed March 3, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_69a66e9e2e1c81909591b01ee1984909 completed March 3, 2026, 5:16 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.