Triple

T8308518
Position Surface form Disambiguated ID Type / Status
Subject Merrill De Maris E194525 entity
Predicate givenName P17 FINISHED
Object Merrill
Merrill is a given name used by various notable individuals across fields such as literature, entertainment, and business.
 E726987 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: Merrill | Statement: [Merrill De Maris, givenName, Merrill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merrill
Context triple: [Merrill De Maris, givenName, Merrill]
  • A. Merrill
    Merrill is the wealth management and brokerage division of Bank of America, offering investment advice, financial planning, and related services to individual and institutional clients.
  • B. Merrill
    Merrill is a small city in northwestern Iowa, United States, located in Plymouth County along the Floyd River.
  • C. Merrill
    Merrill is a surname most notably associated with American actor Gary Merrill, known for his work in mid-20th-century film and television.
  • D. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • E. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • 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: Merrill
Triple: [Merrill De Maris, givenName, Merrill]
Generated description
Merrill is a given name used by various notable individuals across fields such as literature, entertainment, and business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merrill
Target entity description: Merrill is a given name used by various notable individuals across fields such as literature, entertainment, and business.
  • A. Merrill
    Merrill is a surname most notably associated with American actor Gary Merrill, known for his work in mid-20th-century film and television.
  • B. Merrill
    Merrill is the wealth management and brokerage division of Bank of America, offering investment advice, financial planning, and related services to individual and institutional clients.
  • C. Merrill
    Merrill is a small city in northwestern Iowa, United States, located in Plymouth County along the Floyd River.
  • D. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • E. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2c06608190bd21633af07a530b completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955bd69081909d669139c576efb8 completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cdb20cc18081908269516e49ce0fd3 completed April 2, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69cdb44ff9a88190bbcb4a56f9b44dc1 completed April 2, 2026, 12:12 a.m.
Created at: March 30, 2026, 5:54 p.m.