Triple

T1287845
Position Surface form Disambiguated ID Type / Status
Subject Belle Bennett E27475 entity
Predicate birthName P65 FINISHED
Object Ara Belle Bennett
Ara Belle Bennett was the birth name of Belle Bennett, an American stage and silent film actress active in the early 20th century.
 E158035 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: Ara Belle Bennett | Statement: [Belle Bennett, birthName, Ara Belle Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ara Belle Bennett
Context triple: [Belle Bennett, birthName, Ara Belle Bennett]
  • A. Betty Jane Rase
    Betty Jane Rase was an American woman best known for being one of the early wives of actor Mickey Rooney.
  • B. Mary Carr
    Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
  • C. Lucille Benson
    Lucille Benson was an American character actress known for her comedic and maternal supporting roles in film and television from the 1950s through the 1980s.
  • D. Bernice Layne Brown
    Bernice Layne Brown was the mother of California governor Jerry Brown and a prominent figure in California political and civic life.
  • E. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • 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: Ara Belle Bennett
Triple: [Belle Bennett, birthName, Ara Belle Bennett]
Generated description
Ara Belle Bennett was the birth name of Belle Bennett, an American stage and silent film actress active in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ara Belle Bennett
Target entity description: Ara Belle Bennett was the birth name of Belle Bennett, an American stage and silent film actress active in the early 20th century.
  • A. Betty Jane Rase
    Betty Jane Rase was an American woman best known for being one of the early wives of actor Mickey Rooney.
  • B. Mary Carr
    Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
  • C. Lucille Benson
    Lucille Benson was an American character actress known for her comedic and maternal supporting roles in film and television from the 1950s through the 1980s.
  • D. Bernice Layne Brown
    Bernice Layne Brown was the mother of California governor Jerry Brown and a prominent figure in California political and civic life.
  • E. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d38d7c81908941edda9cac5d6a completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd4729af08190a6de5388dab69fee completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd4efb73881908dda4973befc6aa5 completed March 8, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69acd56ef0b081909df2efee97a4197c completed March 8, 2026, 1:48 a.m.
Created at: March 1, 2026, 7:51 p.m.