Triple

T1011471
Position Surface form Disambiguated ID Type / Status
Subject The Ten Commandments (1956 film) E21832 entity
Predicate starring P1507 FINISHED
Object Martha Scott
Martha Scott was an American actress known for her work in film, television, and theater, including prominent roles in classic Hollywood epics.
E283962 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: Martha Scott | Statement: [The Ten Commandments (1956 film), starring, Martha Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Scott
Context triple: [The Ten Commandments (1956 film), starring, Martha Scott]
  • A. Martha McMillan Roberts
    Martha McMillan Roberts was a Farm Security Administration photographer known for documenting American life during the Great Depression era.
  • B. Mary Stuart McHenry
    Mary Stuart McHenry was the wife of American statesman and former U.S. Secretary of State James Baker.
  • C. Martha Vickers
    Martha Vickers was an American film and television actress best known for her role as Carmen Sternwood in the classic noir film "The Big Sleep" (1946).
  • D. Eunice Scott
    Eunice Scott was a member of the Scott family and the sister of American civil rights leader Coretta Scott King.
  • E. Margaret Bremond Rice
    Margaret Bremond Rice was the wife of American businessman and philanthropist William Marsh Rice, founder of Rice University.
  • 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: Martha Scott
Triple: [The Ten Commandments (1956 film), starring, Martha Scott]
Generated description
Martha Scott was an American actress known for her work in film, television, and theater, including prominent roles in classic Hollywood epics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martha Scott
Target entity description: Martha Scott was an American actress known for her work in film, television, and theater, including prominent roles in classic Hollywood epics.
  • A. Martha McMillan Roberts
    Martha McMillan Roberts was a Farm Security Administration photographer known for documenting American life during the Great Depression era.
  • B. Mary Stuart McHenry
    Mary Stuart McHenry was the wife of American statesman and former U.S. Secretary of State James Baker.
  • C. Martha Vickers
    Martha Vickers was an American film and television actress best known for her role as Carmen Sternwood in the classic noir film "The Big Sleep" (1946).
  • D. Eunice Scott
    Eunice Scott was a member of the Scott family and the sister of American civil rights leader Coretta Scott King.
  • E. Margaret Bremond Rice
    Margaret Bremond Rice was the wife of American businessman and philanthropist William Marsh Rice, founder of Rice University.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a743cc8190a46e6a14e3e8130f completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69af902ed8dc8190bdf3aa0d122dd085 completed March 10, 2026, 3:29 a.m.
NEDg Description generation batch_69af91a3b4588190acfb360dac6e5ce0 completed March 10, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69af920b7fcc8190b5a34c7c626a1c5d completed March 10, 2026, 3:37 a.m.
Created at: March 1, 2026, 7:41 p.m.