Triple

T2466108
Position Surface form Disambiguated ID Type / Status
Subject Jean Toomer E55250 entity
Predicate spouse P13 FINISHED
Object Marjorie Content
Marjorie Content was an American photographer and writer associated with early 20th-century modernist and literary circles.
 E451373 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: Marjorie Content | Statement: [Jean Toomer, spouse, Marjorie Content]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marjorie Content
Context triple: [Jean Toomer, spouse, Marjorie Content]
  • A. Marjorie Nelson
    Marjorie Nelson was an American actress known for her work on stage and screen and for being married to fellow actor Howard Da Silva.
  • B. Marjorie Hood
    Marjorie Hood was the first wife of American lyricist and playwright Alan Jay Lerner, known for her marriage to the celebrated Broadway writer.
  • C. Marjorie Reynolds
    Marjorie Reynolds was an American film and television actress best known for her roles in classic 1940s movies and early TV series.
  • D. Carole Eastman
    Carole Eastman was an American screenwriter best known for her incisive character-driven work in 1970s New Hollywood cinema, including the film "Five Easy Pieces."
  • E. Phyllis Newman
    Phyllis Newman was an American actress and singer known for her work on Broadway and television, as well as for her advocacy on behalf of women’s health and entertainment industry professionals.
  • 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: Marjorie Content
Triple: [Jean Toomer, spouse, Marjorie Content]
Generated description
Marjorie Content was an American photographer and writer associated with early 20th-century modernist and literary circles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marjorie Content
Target entity description: Marjorie Content was an American photographer and writer associated with early 20th-century modernist and literary circles.
  • A. Marjorie Nelson
    Marjorie Nelson was an American actress known for her work on stage and screen and for being married to fellow actor Howard Da Silva.
  • B. Marjorie Hood
    Marjorie Hood was the first wife of American lyricist and playwright Alan Jay Lerner, known for her marriage to the celebrated Broadway writer.
  • C. Marjorie Reynolds
    Marjorie Reynolds was an American film and television actress best known for her roles in classic 1940s movies and early TV series.
  • D. Carole Eastman
    Carole Eastman was an American screenwriter best known for her incisive character-driven work in 1970s New Hollywood cinema, including the film "Five Easy Pieces."
  • E. Phyllis Newman
    Phyllis Newman was an American actress and singer known for her work on Broadway and television, as well as for her advocacy on behalf of women’s health and entertainment industry professionals.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd122db8881909ef3c0a1df7ff7a5 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8d89e248190a9cd92e9f61697f8 completed March 20, 2026, 9:15 p.m.
NEDg Description generation batch_69bdbe7657c08190a1dfb6afadd27cc7 completed March 20, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69bdbed900b48190b8f41dc306dfed48 completed March 20, 2026, 9:40 p.m.
Created at: March 6, 2026, 9:44 p.m.