Triple

T11951995
Position Surface form Disambiguated ID Type / Status
Subject Gene Green E284447 entity
Predicate spouse P13 FINISHED
Object Helen Green
Helen Green is known as the wife of former U.S. Congressman Gene Green.
E1004152 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 Green | Statement: [Gene Green, spouse, Helen Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Green
Context triple: [Gene Green, spouse, Helen Green]
  • A. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • B. Helen Horton
    Helen Horton was an American actress best known for her film, television, and voice work, including voicing the ship's computer "Mother" in the 1979 science fiction film Alien.
  • C. Helen Harrington
    Helen Harrington is known as the wife of American minimalist painter Brice Marden.
  • D. Helen Willis
    Helen Willis is a central character on the sitcom "The Jeffersons," known as Louise Jefferson’s close friend and one half of the show’s groundbreaking interracial couple.
  • E. Amy Hewitt Green
    Amy Hewitt Green was a key early benefactor and co-founder associated with the origins of what became the Cooper Hewitt, Smithsonian Design Museum in New York City.
  • 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 Green
Triple: [Gene Green, spouse, Helen Green]
Generated description
Helen Green is known as the wife of former U.S. Congressman Gene Green.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helen Green
Target entity description: Helen Green is known as the wife of former U.S. Congressman Gene Green.
  • A. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • B. Helen Horton
    Helen Horton was an American actress best known for her film, television, and voice work, including voicing the ship's computer "Mother" in the 1979 science fiction film Alien.
  • C. Helen Harrington
    Helen Harrington is known as the wife of American minimalist painter Brice Marden.
  • D. Helen Willis
    Helen Willis is a central character on the sitcom "The Jeffersons," known as Louise Jefferson’s close friend and one half of the show’s groundbreaking interracial couple.
  • E. Amy Hewitt Green
    Amy Hewitt Green was a key early benefactor and co-founder associated with the origins of what became the Cooper Hewitt, Smithsonian Design Museum in New York City.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90364c2608190a3946c9595c71164 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9d94b48190b026d5a0ad3d6ce7 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f691341d0081909ca3b281ee64b42b completed May 3, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69f692361c3c81909078a19be1a86231 completed May 3, 2026, 12:09 a.m.
Created at: April 8, 2026, 9:45 p.m.