Triple

T9732641
Position Surface form Disambiguated ID Type / Status
Subject Marjorie Taylor Greene E235981 entity
Predicate hasChild P369 FINISHED
Object Lauren Greene
Lauren Greene is the daughter of American politician and U.S. Representative Marjorie Taylor Greene.
E833050 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: Lauren Greene | Statement: [Marjorie Taylor Greene, hasChild, Lauren Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Greene
Context triple: [Marjorie Taylor Greene, hasChild, Lauren Greene]
  • A. Lauren Parkinson
    Lauren Parkinson is an American actress best known for her role in the fantasy action film "Avengers Grimm."
  • B. Lindsay Greenbush
    Lindsay Greenbush is an American former child actress best known for playing Carrie Ingalls on the television series "Little House on the Prairie" alongside her twin sister Sidney.
  • C. Lauren Hutchinson
    Lauren Hutchinson is a central teenage character in the short-lived 1980s American sitcom "Square Pegs," which focused on the social struggles of high school misfits.
  • D. Lauren Nourse
    Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
  • E. Lauren Kelly
    Lauren Kelly is a pseudonym used by acclaimed American author Joyce Carol Oates for writing psychological suspense and crime novels.
  • 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: Lauren Greene
Triple: [Marjorie Taylor Greene, hasChild, Lauren Greene]
Generated description
Lauren Greene is the daughter of American politician and U.S. Representative Marjorie Taylor Greene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lauren Greene
Target entity description: Lauren Greene is the daughter of American politician and U.S. Representative Marjorie Taylor Greene.
  • A. Lauren Parkinson
    Lauren Parkinson is an American actress best known for her role in the fantasy action film "Avengers Grimm."
  • B. Lindsay Greenbush
    Lindsay Greenbush is an American former child actress best known for playing Carrie Ingalls on the television series "Little House on the Prairie" alongside her twin sister Sidney.
  • C. Lauren Hutchinson
    Lauren Hutchinson is a central teenage character in the short-lived 1980s American sitcom "Square Pegs," which focused on the social struggles of high school misfits.
  • D. Lauren Nourse
    Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
  • E. Lauren Kelly
    Lauren Kelly is a pseudonym used by acclaimed American author Joyce Carol Oates for writing psychological suspense and crime novels.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb3d6e4819090b3c7fb92550c57 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d25753fec48190927e8d96efd2df54 completed April 5, 2026, 12:36 p.m.
NEDg Description generation batch_69d258c603488190937aa9244e90b6ec completed April 5, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69d2592b1f9c8190a9db928b9527e27b completed April 5, 2026, 12:44 p.m.
Created at: March 30, 2026, 8:22 p.m.