Triple

T9996808
Position Surface form Disambiguated ID Type / Status
Subject Tommy Chong E197221 entity
Predicate spouse P13 FINISHED
Object Maxine Sneed
Maxine Sneed is a Canadian editor and the former wife of comedian and actor Tommy Chong.
 E849739 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: Maxine Sneed | Statement: [Tommy Chong, spouse, Maxine Sneed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maxine Sneed
Context triple: [Tommy Chong, spouse, Maxine Sneed]
  • A. Maxine Harmon
    Maxine Harmon is the child of Mary Frances Reynolds, better known as the actress Debbie Reynolds.
  • B. Maxine Roby
    Maxine Roby is a central forensic crime lab leader in the television series "CSI: Vegas," known for her sharp investigative skills and authoritative presence.
  • C. Maxine Smith
    Maxine Smith was a prominent civil rights leader and longtime executive secretary of the Memphis NAACP who played a central role in desegregation and voting rights efforts in Memphis, Tennessee.
  • D. Arvilla Knight
    Arvilla Knight was the wife of California Governor Goodwin Knight and served as the state's First Lady during his administration.
  • E. Maxine Cooper
    Maxine Cooper was an American actress best known for her role as Velda, the loyal secretary in the classic 1955 film noir "Kiss Me Deadly."
  • 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: Maxine Sneed
Triple: [Tommy Chong, spouse, Maxine Sneed]
Generated description
Maxine Sneed is a Canadian editor and the former wife of comedian and actor Tommy Chong.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maxine Sneed
Target entity description: Maxine Sneed is a Canadian editor and the former wife of comedian and actor Tommy Chong.
  • A. Maxine Harmon
    Maxine Harmon is the child of Mary Frances Reynolds, better known as the actress Debbie Reynolds.
  • B. Maxine Roby
    Maxine Roby is a central forensic crime lab leader in the television series "CSI: Vegas," known for her sharp investigative skills and authoritative presence.
  • C. Maxine Smith
    Maxine Smith was a prominent civil rights leader and longtime executive secretary of the Memphis NAACP who played a central role in desegregation and voting rights efforts in Memphis, Tennessee.
  • D. Arvilla Knight
    Arvilla Knight was the wife of California Governor Goodwin Knight and served as the state's First Lady during his administration.
  • E. Maxine Cooper
    Maxine Cooper was an American actress best known for her role as Velda, the loyal secretary in the classic 1955 film noir "Kiss Me Deadly."
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb9af6a88190942cc4991bd373c1 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6527343048190b3bb13b33c32fbf7 completed April 8, 2026, 1:04 p.m.
NEDg Description generation batch_69d65377b1688190b776db55e40e72fb completed April 8, 2026, 1:09 p.m.
NED2 Entity disambiguation (via description) batch_69d653f01c508190a9e1d674dc0c84fd completed April 8, 2026, 1:11 p.m.
Created at: March 30, 2026, 8:51 p.m.