Triple

T6245472
Position Surface form Disambiguated ID Type / Status
Subject Merrill E139709 entity
Predicate hasNotableBearer P458 FINISHED
Object Lynn Merrill
Lynn Merrill is an individual notable enough to be recognized as a bearer of the surname Merrill.
 E576939 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: Lynn Merrill | Statement: [Merrill, hasNotableBearer, Lynn Merrill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lynn Merrill
Context triple: [Merrill, hasNotableBearer, Lynn Merrill]
  • A. Melinda Rogers
    Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
  • B. Brenda Vaccaro
    Brenda Vaccaro is an American actress known for her distinctive husky voice and acclaimed performances in film, television, and theater since the 1960s.
  • C. Gail Gregg
    Gail Gregg is an American artist and journalist known for her work in visual arts and for her connection to the prominent Sulzberger publishing family.
  • D. Gail Brown
    Gail Brown is an American actress and the sister of acclaimed film and television actress Karen Black.
  • E. Cheryl Kennedy
    Cheryl Kennedy is a British actress known for her work in theatre and television, and for her former marriage to actor Tom Courtenay.
  • 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: Lynn Merrill
Triple: [Merrill, hasNotableBearer, Lynn Merrill]
Generated description
Lynn Merrill is an individual notable enough to be recognized as a bearer of the surname Merrill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lynn Merrill
Target entity description: Lynn Merrill is an individual notable enough to be recognized as a bearer of the surname Merrill.
  • A. Melinda Rogers
    Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
  • B. Brenda Vaccaro
    Brenda Vaccaro is an American actress known for her distinctive husky voice and acclaimed performances in film, television, and theater since the 1960s.
  • C. Gail Gregg
    Gail Gregg is an American artist and journalist known for her work in visual arts and for her connection to the prominent Sulzberger publishing family.
  • D. Gail Brown
    Gail Brown is an American actress and the sister of acclaimed film and television actress Karen Black.
  • E. Cheryl Kennedy
    Cheryl Kennedy is a British actress known for her work in theatre and television, and for her former marriage to actor Tom Courtenay.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631c63d48190a41ec1232aecb373 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e15e7e48190b8a79178243b01f6 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c211a2fb3481909539519465fa5ce7 completed March 24, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69c211fdc42081908f5fb9e31ee08237 completed March 24, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:23 p.m.