Triple

T4877154
Position Surface form Disambiguated ID Type / Status
Subject Dyan Cannon E109231 entity
Predicate givenName P17 FINISHED
Object Samille
Samille is the birth name of American actress, director, and editor Dyan Cannon, known for her work in film and television since the 1960s.
 E477541 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: Samille | Statement: [Dyan Cannon, givenName, Samille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samille
Context triple: [Dyan Cannon, givenName, Samille]
  • A. Sué
    Sué is the Muisca sun god, a principal deity associated with light, warmth, and cosmic order in the mythology of the pre-Columbian Muisca people of the Colombian Andes.
  • B. Sawbwa
    Sawbwa was the hereditary princely title held by the traditional rulers of the Shan States in what is now Myanmar.
  • C. Samal
    Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
  • D. Sasmuan
    Sasmuan is a coastal municipality in the province of Pampanga in the Philippines, known for its fishing industry, wetlands, and bird-watching sites.
  • E. Sijistan
    Sijistan (also known as Sistan) is a historical region in eastern Iran and southwestern Afghanistan that was an important center of early Islamic scholarship and culture.
  • 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: Samille
Triple: [Dyan Cannon, givenName, Samille]
Generated description
Samille is the birth name of American actress, director, and editor Dyan Cannon, known for her work in film and television since the 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samille
Target entity description: Samille is the birth name of American actress, director, and editor Dyan Cannon, known for her work in film and television since the 1960s.
  • A. Sué
    Sué is the Muisca sun god, a principal deity associated with light, warmth, and cosmic order in the mythology of the pre-Columbian Muisca people of the Colombian Andes.
  • B. Sawbwa
    Sawbwa was the hereditary princely title held by the traditional rulers of the Shan States in what is now Myanmar.
  • C. Samal
    Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
  • D. Sasmuan
    Sasmuan is a coastal municipality in the province of Pampanga in the Philippines, known for its fishing industry, wetlands, and bird-watching sites.
  • E. Sijistan
    Sijistan (also known as Sistan) is a historical region in eastern Iran and southwestern Afghanistan that was an important center of early Islamic scholarship and culture.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dbbc734819083b28a022e5690d6 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67fc50cc819083a475a1de914670 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6c25d3448190b2589959a2f221c8 completed March 21, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69be6cf6662c8190bc1b94766c5da1e9 completed March 21, 2026, 10:03 a.m.
Created at: March 20, 2026, 1:27 p.m.