Triple

T12296860
Position Surface form Disambiguated ID Type / Status
Subject Lynda Laurence E293110 entity
Predicate birthName P65 FINISHED
Object Lynda Tucker
Lynda Tucker, better known as Lynda Laurence, is an American singer recognized for her tenure as a member of The Supremes in the early 1970s.
 E1071803 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 Tucker | Statement: [Lynda Laurence, birthName, Lynda Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lynda Tucker
Context triple: [Lynda Laurence, birthName, Lynda Tucker]
  • A. Lynda Resnick
    Lynda Resnick is an American billionaire businesswoman and philanthropist known for co-owning The Wonderful Company and for her extensive arts and cultural patronage.
  • B. Lynda Bernhard
    Lynda Bernhard is known as the wife of American film producer Harvey Bernhard.
  • C. Lynda Dryden
    Lynda Dryden is the wife of former NHL goaltender and Canadian politician Ken Dryden.
  • D. Lynda Petty
    Lynda Petty was the longtime wife of NASCAR legend Richard Petty and a prominent figure in the racing community known for her charitable work and support of the Petty family’s motorsports legacy.
  • E. Tricia Vessey
    Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
  • 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 Tucker
Triple: [Lynda Laurence, birthName, Lynda Tucker]
Generated description
Lynda Tucker, better known as Lynda Laurence, is an American singer recognized for her tenure as a member of The Supremes in the early 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lynda Tucker
Target entity description: Lynda Tucker, better known as Lynda Laurence, is an American singer recognized for her tenure as a member of The Supremes in the early 1970s.
  • A. Lynda Resnick
    Lynda Resnick is an American billionaire businesswoman and philanthropist known for co-owning The Wonderful Company and for her extensive arts and cultural patronage.
  • B. Lynda Bernhard
    Lynda Bernhard is known as the wife of American film producer Harvey Bernhard.
  • C. Lynda Dryden
    Lynda Dryden is the wife of former NHL goaltender and Canadian politician Ken Dryden.
  • D. Lynda Petty
    Lynda Petty was the longtime wife of NASCAR legend Richard Petty and a prominent figure in the racing community known for her charitable work and support of the Petty family’s motorsports legacy.
  • E. Tricia Vessey
    Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed903808190b7ed90e0db3d7586 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ad4cc48190a680652efa3ab463 completed May 6, 2026, 8:16 p.m.
NEDg Description generation batch_69fba5918348819084fa4235eec6eee0 completed May 6, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69fba6b5e4f4819088e8a0629e17e4cc completed May 6, 2026, 8:38 p.m.
Created at: April 8, 2026, 9:52 p.m.