Triple

T10493361
Position Surface form Disambiguated ID Type / Status
Subject Pygmalion (1938 film) E247472 entity
Predicate starring P1507 FINISHED
Object Marie Lohr
Marie Lohr was an English actress known for her stage and film work in the early 20th century, often appearing in British dramas and literary adaptations.
E873584 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: Marie Lohr | Statement: [Pygmalion (1938 film), starring, Marie Lohr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Lohr
Context triple: [Pygmalion (1938 film), starring, Marie Lohr]
  • A. Marie Selland
    Marie Selland was the first wife of American film director Sam Peckinpah, known primarily in relation to his early personal life.
  • B. Margarete Jensen
    Margarete Jensen was the wife of German nuclear physicist and Nobel laureate Hans D. Jensen.
  • C. Marie Serneholt
    Marie Serneholt is a Swedish pop singer and television presenter best known as a former member of the teen pop group A-Teens.
  • D. Martha Nielsen
    Martha Nielsen is a central character in the German sci-fi thriller series "Dark," whose complex relationships and time-travel entanglements are pivotal to the show's overarching mystery.
  • E. Marie Meyer
    Marie Meyer was the wife of the prominent German historian Eduard Meyer.
  • 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: Marie Lohr
Triple: [Pygmalion (1938 film), starring, Marie Lohr]
Generated description
Marie Lohr was an English actress known for her stage and film work in the early 20th century, often appearing in British dramas and literary adaptations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marie Lohr
Target entity description: Marie Lohr was an English actress known for her stage and film work in the early 20th century, often appearing in British dramas and literary adaptations.
  • A. Marie Selland
    Marie Selland was the first wife of American film director Sam Peckinpah, known primarily in relation to his early personal life.
  • B. Margarete Jensen
    Margarete Jensen was the wife of German nuclear physicist and Nobel laureate Hans D. Jensen.
  • C. Marie Serneholt
    Marie Serneholt is a Swedish pop singer and television presenter best known as a former member of the teen pop group A-Teens.
  • D. Martha Nielsen
    Martha Nielsen is a central character in the German sci-fi thriller series "Dark," whose complex relationships and time-travel entanglements are pivotal to the show's overarching mystery.
  • E. Marie Meyer
    Marie Meyer was the wife of the prominent German historian Eduard Meyer.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ecbec8190807c4fcc85662026 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e5d1a2c81908a9bb8f1c55414fa completed April 10, 2026, 8:32 p.m.
NEDg Description generation batch_69d95f80d0c48190b88e3a4b3e42279c completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9602748608190b0c971accf44b7aa completed April 10, 2026, 8:40 p.m.
Created at: April 6, 2026, 12:24 p.m.