Triple

T5271024
Position Surface form Disambiguated ID Type / Status
Subject Tony Booth E119257 entity
Predicate child P120 FINISHED
Object Lauren Booth
Lauren Booth is a British journalist, broadcaster, and activist known for her work in media and her high-profile conversion to Islam.
 E510776 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 Booth | Statement: [Tony Booth, child, Lauren Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lauren Booth
Context triple: [Tony Booth, child, Lauren Booth]
  • A. Lauren Baker
    Lauren Baker is an American nonprofit leader and public figure who served as First Lady of Massachusetts during Charlie Baker’s governorship.
  • B. Lindsay Brunnock
    Lindsay Brunnock is a British art director known for her work in film and television and for being married to actor and director Kenneth Branagh.
  • C. Lauren Barber
    Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
  • D. Lindsay Duncan
    Lindsay Duncan is a Scottish actress acclaimed for her work on stage, film, and television, known for roles in productions such as "About Time," "Rome," and "Doctor Who."
  • E. Rebecca Garland
    Rebecca Garland is one of the children of Merrick Garland, the U.S. Attorney General and former federal judge.
  • 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 Booth
Triple: [Tony Booth, child, Lauren Booth]
Generated description
Lauren Booth is a British journalist, broadcaster, and activist known for her work in media and her high-profile conversion to Islam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lauren Booth
Target entity description: Lauren Booth is a British journalist, broadcaster, and activist known for her work in media and her high-profile conversion to Islam.
  • A. Lauren Baker
    Lauren Baker is an American nonprofit leader and public figure who served as First Lady of Massachusetts during Charlie Baker’s governorship.
  • B. Lindsay Brunnock
    Lindsay Brunnock is a British art director known for her work in film and television and for being married to actor and director Kenneth Branagh.
  • C. Lauren Barber
    Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
  • D. Lindsay Duncan
    Lindsay Duncan is a Scottish actress acclaimed for her work on stage, film, and television, known for roles in productions such as "About Time," "Rome," and "Doctor Who."
  • E. Rebecca Garland
    Rebecca Garland is one of the children of Merrick Garland, the U.S. Attorney General and former federal judge.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c1fa01081909d589686289b624b completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10d4cd44819085193f0f76eb597a completed March 21, 2026, 9:42 p.m.
NEDg Description generation batch_69bf1186f1988190893e8d1af8623f6d completed March 21, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69bf1226ddd08190a39799fd0db58694 completed March 21, 2026, 9:48 p.m.
Created at: March 20, 2026, 1:51 p.m.