Triple

T1204427
Position Surface form Disambiguated ID Type / Status
Subject Gary Merrill E25855 entity
Predicate familyName P18 FINISHED
Object Merrill
Merrill is a surname most notably associated with American actor Gary Merrill, known for his work in mid-20th-century film and television.
 E139709 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: [Gary Merrill, familyName, Merrill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merrill
Context triple: [Gary Merrill, familyName, Merrill]
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • C. Widnall
    Widnall is the surname of Sheila Widnall, an American aerospace engineer and former Secretary of the U.S. Air Force.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • 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: [Gary Merrill, familyName, Merrill]
Generated description
Merrill is a surname most notably associated with American actor Gary Merrill, known for his work in mid-20th-century film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merrill
Target entity description: Merrill is a surname most notably associated with American actor Gary Merrill, known for his work in mid-20th-century film and television.
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • C. Widnall
    Widnall is the surname of Sheila Widnall, an American aerospace engineer and former Secretary of the U.S. Air Force.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdbf94188190991f63a84cc76b8a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8319d0e88190977a4d434b209f11 completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac838fc3d08190aa43d7f2767fe7d2 completed March 7, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac8425ab408190a25c0f5db40ae77f completed March 7, 2026, 8:01 p.m.
Created at: March 1, 2026, 7:46 p.m.