Triple

T9996825
Position Surface form Disambiguated ID Type / Status
Subject Tommy Chong E197221 entity
Predicate hasChild P369 FINISHED
Object Robbi Chong
Robbi Chong is a Canadian actress and former model known for her film and television roles in the 1980s and 1990s.
E835757 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: Robbi Chong | Statement: [Tommy Chong, hasChild, Robbi Chong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robbi Chong
Context triple: [Tommy Chong, hasChild, Robbi Chong]
  • A. Shelby Chong
    Shelby Chong is an American comedian, actress, and producer known for her work in stand-up and film, often collaborating with her husband Tommy Chong.
  • B. Christopher Chung
    Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
  • C. Felix Chong
    Felix Chong is a Hong Kong filmmaker best known as the co-writer and co-creator of the acclaimed crime thriller series "Infernal Affairs," which inspired Martin Scorsese’s "The Departed."
  • D. Joey Chin
    Joey Chin is an actor best known for his role in the 1990 crime film "King of New York."
  • E. Johnny Chiang
    Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
  • 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: Robbi Chong
Triple: [Tommy Chong, hasChild, Robbi Chong]
Generated description
Robbi Chong is a Canadian actress and former model known for her film and television roles in the 1980s and 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robbi Chong
Target entity description: Robbi Chong is a Canadian actress and former model known for her film and television roles in the 1980s and 1990s.
  • A. Shelby Chong
    Shelby Chong is an American comedian, actress, and producer known for her work in stand-up and film, often collaborating with her husband Tommy Chong.
  • B. Christopher Chung
    Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
  • C. Felix Chong
    Felix Chong is a Hong Kong filmmaker best known as the co-writer and co-creator of the acclaimed crime thriller series "Infernal Affairs," which inspired Martin Scorsese’s "The Departed."
  • D. Joey Chin
    Joey Chin is an actor best known for his role in the 1990 crime film "King of New York."
  • E. Johnny Chiang
    Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
  • 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_69d26a2bc4f081909595afcc2c862eda completed April 5, 2026, 1:56 p.m.
NEDg Description generation batch_69d26b3e1b948190a76cf7ad91a1e0a5 completed April 5, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69d26c0c9ee88190867f8531e9ffbf27 completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:51 p.m.