Triple

T7731751
Position Surface form Disambiguated ID Type / Status
Subject George Barnes E175275 entity
Predicate spouse P13 FINISHED
Object Helen Howell
Helen Howell is known as the spouse of George Barnes.
E833228 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: Helen Howell | Statement: [George Barnes, spouse, Helen Howell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Howell
Context triple: [George Barnes, spouse, Helen Howell]
  • A. Helen Vinson
    Helen Vinson was an American film actress of the 1930s and 1940s, often cast in sophisticated or morally ambiguous roles in Hollywood dramas and crime films.
  • B. Helen Harrington
    Helen Harrington is known as the wife of American minimalist painter Brice Marden.
  • C. Helen Hughes
    Helen Hughes was a daughter of Charles Evans Hughes, the prominent American statesman who served as both U.S. Secretary of State and Chief Justice of the Supreme Court.
  • D. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • E. Helen Ferguson
    Helen Ferguson was an American silent film actress prominent in the 1910s and 1920s who later became a successful Hollywood publicist.
  • 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: Helen Howell
Triple: [George Barnes, spouse, Helen Howell]
Generated description
Helen Howell is known as the spouse of George Barnes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helen Howell
Target entity description: Helen Howell is known as the spouse of George Barnes.
  • A. Helen Vinson
    Helen Vinson was an American film actress of the 1930s and 1940s, often cast in sophisticated or morally ambiguous roles in Hollywood dramas and crime films.
  • B. Helen Harrington
    Helen Harrington is known as the wife of American minimalist painter Brice Marden.
  • C. Helen Hughes
    Helen Hughes was a daughter of Charles Evans Hughes, the prominent American statesman who served as both U.S. Secretary of State and Chief Justice of the Supreme Court.
  • D. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • E. Helen Ferguson
    Helen Ferguson was an American silent film actress prominent in the 1910s and 1920s who later became a successful Hollywood publicist.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70336aafc819099a060950ab8922f completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2571ac8ec8190bf59c2cec5e2e6e2 completed April 5, 2026, 12:35 p.m.
NEDg Description generation batch_69d25889b0f08190a28c5401417fe3cc completed April 5, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_69d25977ab988190969ed8ff8eb53ddd completed April 5, 2026, 12:45 p.m.
Created at: March 27, 2026, 4:06 p.m.