Triple

T9299169
Position Surface form Disambiguated ID Type / Status
Subject Slaves of Babylon E223716 entity
Predicate starring P1507 FINISHED
Object Susan Cummings
Susan Cummings was a German-American film and television actress active in the 1950s and 1960s, known for her roles in adventure and genre pictures as well as numerous TV guest appearances.
E795988 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: Susan Cummings | Statement: [Slaves of Babylon, starring, Susan Cummings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Cummings
Context triple: [Slaves of Babylon, starring, Susan Cummings]
  • A. Sarah Sedgwick
    Sarah Sedgwick was a colonial-era New England woman known primarily as the wife of Harvard-educated lawyer and Massachusetts governor John Leverett.
  • B. Lisa Mann
    Lisa Mann is an actress known for her role in the film "Lilies of the Field."
  • C. Lucinda Jenney
    Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
  • D. Heather MacLachlan
    Heather MacLachlan is best known as the wife of former U.S. Senator and diplomat George J. Mitchell.
  • E. Melissa Sue Anderson
    Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
  • 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: Susan Cummings
Triple: [Slaves of Babylon, starring, Susan Cummings]
Generated description
Susan Cummings was a German-American film and television actress active in the 1950s and 1960s, known for her roles in adventure and genre pictures as well as numerous TV guest appearances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan Cummings
Target entity description: Susan Cummings was a German-American film and television actress active in the 1950s and 1960s, known for her roles in adventure and genre pictures as well as numerous TV guest appearances.
  • A. Sarah Sedgwick
    Sarah Sedgwick was a colonial-era New England woman known primarily as the wife of Harvard-educated lawyer and Massachusetts governor John Leverett.
  • B. Lisa Mann
    Lisa Mann is an actress known for her role in the film "Lilies of the Field."
  • C. Lucinda Jenney
    Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
  • D. Heather MacLachlan
    Heather MacLachlan is best known as the wife of former U.S. Senator and diplomat George J. Mitchell.
  • E. Melissa Sue Anderson
    Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08cf50cc8190a025f478dff4f9fd completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d100c0af508190bc2a7eaec78cef95 completed April 4, 2026, 12:14 p.m.
NEDg Description generation batch_69d1017a36e0819091bd6d7bc75d1a97 completed April 4, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69d10270f9948190bbf937089f88bacf completed April 4, 2026, 12:22 p.m.
Created at: March 30, 2026, 7:36 p.m.