Triple

T11951997
Position Surface form Disambiguated ID Type / Status
Subject Gene Green E284447 entity
Predicate hasChild P369 FINISHED
Object Angie Green
Angie Green is known as the daughter of American politician and former U.S. Representative Gene Green.
E957803 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: Angie Green | Statement: [Gene Green, hasChild, Angie Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angie Green
Context triple: [Gene Green, hasChild, Angie Green]
  • A. Angie Smith
    Angie Smith is best known as the wife of former NFL wide receiver and sports analyst Steve Smith Sr.
  • B. Amanda Green
    Amanda Green is an American lyricist and composer known for her work on Broadway musicals and collaborations with prominent theater artists.
  • C. Lisa Angelle
    Lisa Angelle is an American singer and songwriter known for her work in country and pop music, including performing the opening theme for the 1987 TV series "Beauty and the Beast."
  • D. Angie Jordan
    Angie Jordan is a fictional character on the television series "30 Rock," known as the outspoken and assertive wife of comedian Tracy Jordan.
  • E. Angie Hubbard
    Angie Hubbard is a beloved fictional doctor and pioneering African-American female character from the soap opera "All My Children."
  • 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: Angie Green
Triple: [Gene Green, hasChild, Angie Green]
Generated description
Angie Green is known as the daughter of American politician and former U.S. Representative Gene Green.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Angie Green
Target entity description: Angie Green is known as the daughter of American politician and former U.S. Representative Gene Green.
  • A. Angie Smith
    Angie Smith is best known as the wife of former NFL wide receiver and sports analyst Steve Smith Sr.
  • B. Amanda Green
    Amanda Green is an American lyricist and composer known for her work on Broadway musicals and collaborations with prominent theater artists.
  • C. Lisa Angelle
    Lisa Angelle is an American singer and songwriter known for her work in country and pop music, including performing the opening theme for the 1987 TV series "Beauty and the Beast."
  • D. Angie Jordan
    Angie Jordan is a fictional character on the television series "30 Rock," known as the outspoken and assertive wife of comedian Tracy Jordan.
  • E. Angie Hubbard
    Angie Hubbard is a beloved fictional doctor and pioneering African-American female character from the soap opera "All My Children."
  • 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_69f471c931a88190a9d29262c62b9472 completed May 1, 2026, 9:26 a.m.
NEDg Description generation batch_69f47b7ac4048190ae09f18f1a90338f completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47db91f38819092b7b5c5e2bb489b completed May 1, 2026, 10:17 a.m.
Created at: April 8, 2026, 9:45 p.m.