Triple

T4560049
Position Surface form Disambiguated ID Type / Status
Subject Mom E120569 entity
Predicate featuresCharacter P626 FINISHED
Object Marjorie Armstrong
Marjorie Armstrong is a fictional character named as the mother figure "Mom," likely serving a central parental role in her story.
E524563 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 Armstrong | Statement: [Mom, featuresCharacter, Marjorie Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjorie Armstrong
Context triple: [Mom, featuresCharacter, Marjorie Armstrong]
  • A. Mary Elizabeth Aitcheson
    Mary Elizabeth Aitcheson is the birth name of Tipper Gore, the American social issues advocate and former Second Lady of the United States.
  • B. Marjorie Wren
    Marjorie Wren was the second wife of Scottish editor and military officer Hugh Alexander Pollock, known primarily through her marriage to him.
  • C. Mary McDougall
    Mary McDougall is known primarily as the daughter of American Revolutionary War officer and political leader Alexander McDougall.
  • D. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • E. 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.
  • 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 Armstrong
Triple: [Mom, featuresCharacter, Marjorie Armstrong]
Generated description
Marjorie Armstrong is a fictional character named as the mother figure "Mom," likely serving a central parental role in her story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marjorie Armstrong
Target entity description: Marjorie Armstrong is a fictional character named as the mother figure "Mom," likely serving a central parental role in her story.
  • A. Mary Elizabeth Aitcheson
    Mary Elizabeth Aitcheson is the birth name of Tipper Gore, the American social issues advocate and former Second Lady of the United States.
  • B. Marjorie Wren
    Marjorie Wren was the second wife of Scottish editor and military officer Hugh Alexander Pollock, known primarily through her marriage to him.
  • C. Mary McDougall
    Mary McDougall is known primarily as the daughter of American Revolutionary War officer and political leader Alexander McDougall.
  • D. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • E. 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.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77a49ddc819082fdfe7389b0d8a1 completed March 22, 2026, 5:01 a.m.
NEDg Description generation batch_69bf789ea6648190b418b35ef4f8d802 completed March 22, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69bf78eb6afc8190ac471d8ffc6372e3 completed March 22, 2026, 5:06 a.m.
Created at: March 20, 2026, 1:09 p.m.