Triple

T2718232
Position Surface form Disambiguated ID Type / Status
Subject The Supremes E60017 entity
Predicate member P10 FINISHED
Object Lynda Laurence
Lynda Laurence is an American singer best known as a former member of the legendary Motown group The Supremes during the early 1970s.
 E293110 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: Lynda Laurence | Statement: [The Supremes, member, Lynda Laurence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lynda Laurence
Context triple: [The Supremes, member, Lynda Laurence]
  • A. Lucy Davis
    Lucy Davis is a British actress best known for her comedic and character roles in film and television, including her appearance in the 2017 superhero film "Wonder Woman."
  • B. Lynda Dryden
    Lynda Dryden is the wife of former NHL goaltender and Canadian politician Ken Dryden.
  • C. 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."
  • D. Victoria Tennant
    Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
  • E. Renée Asherson
    Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
  • 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: Lynda Laurence
Triple: [The Supremes, member, Lynda Laurence]
Generated description
Lynda Laurence is an American singer best known as a former member of the legendary Motown group The Supremes during the early 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lynda Laurence
Target entity description: Lynda Laurence is an American singer best known as a former member of the legendary Motown group The Supremes during the early 1970s.
  • A. Lucy Davis
    Lucy Davis is a British actress best known for her comedic and character roles in film and television, including her appearance in the 2017 superhero film "Wonder Woman."
  • B. Lynda Dryden
    Lynda Dryden is the wife of former NHL goaltender and Canadian politician Ken Dryden.
  • C. 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."
  • D. Victoria Tennant
    Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
  • E. Renée Asherson
    Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaad577c8190819d3c641c2406f4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68ebd0081908bb360872d559e1f completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb75ea498819089c79e63052e9696 completed March 10, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69afb83ba6dc8190931d691d3e354bd7 completed March 10, 2026, 6:20 a.m.
Created at: March 6, 2026, 9:55 p.m.