Triple

T13236124
Position Surface form Disambiguated ID Type / Status
Subject McMillan & Wife E315150 entity
Predicate starring P1507 FINISHED
Object Susan Saint James
Susan Saint James is an American actress best known for her work in 1970s and 1980s television, including prominent roles in popular crime and sitcom series.
E1029386 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 Saint James | Statement: [McMillan & Wife, starring, Susan Saint James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Saint James
Context triple: [McMillan & Wife, starring, Susan Saint James]
  • A. 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.
  • B. Lisa Mann
    Lisa Mann is an actress known for her role in the film "Lilies of the Field."
  • C. Jeanine Knight
    Jeanine Knight is the wife of American test pilot and astronaut William J. "Pete" Knight.
  • D. Lisa Loring
    Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
  • E. Lisa Blount
    Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
  • 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 Saint James
Triple: [McMillan & Wife, starring, Susan Saint James]
Generated description
Susan Saint James is an American actress best known for her work in 1970s and 1980s television, including prominent roles in popular crime and sitcom series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan Saint James
Target entity description: Susan Saint James is an American actress best known for her work in 1970s and 1980s television, including prominent roles in popular crime and sitcom series.
  • A. 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.
  • B. Lisa Mann
    Lisa Mann is an actress known for her role in the film "Lilies of the Field."
  • C. Jeanine Knight
    Jeanine Knight is the wife of American test pilot and astronaut William J. "Pete" Knight.
  • D. Lisa Loring
    Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
  • E. Lisa Blount
    Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3079c08190977663e5d4762a80 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f700cbb3708190884d05dd0dd22639 completed May 3, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69f7031a4490819081da260edd969ee8 completed May 3, 2026, 8:11 a.m.
Created at: April 9, 2026, 9:22 p.m.