Triple

T20399424
Position Surface form Disambiguated ID Type / Status
Subject Lytro E500291 entity
Predicate foundedBy P104 FINISHED
Object Ren Ng
Ren Ng is a computer scientist and entrepreneur best known as the founder of Lytro and a pioneer in computational photography and light-field imaging.
 E1428137 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: Ren Ng | Statement: [Lytro, foundedBy, Ren Ng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ren Ng
Context triple: [Lytro, foundedBy, Ren Ng]
  • A. Richard Ng
    Richard Ng was a popular Hong Kong actor and comedian best known for his roles in 1970s–1990s Cantonese comedies and action films.
  • B. Gilbran Chong
    Gilbran Chong is one of the children of comedian and actor Tommy Chong, known primarily for his connection to the entertainer’s family.
  • C. Carl Ng
    Carl Ng is a Hong Kong actor known for his roles in action and crime films, including a prominent part in the martial arts movie "The Man with the Iron Fists 2."
  • D. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • E. Benson Fong
    Benson Fong was an American character actor best known for his roles in mid-20th-century Hollywood films, including several entries in the Charlie Chan series.
  • 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: Ren Ng
Triple: [Lytro, foundedBy, Ren Ng]
Generated description
Ren Ng is a computer scientist and entrepreneur best known as the founder of Lytro and a pioneer in computational photography and light-field imaging.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ren Ng
Target entity description: Ren Ng is a computer scientist and entrepreneur best known as the founder of Lytro and a pioneer in computational photography and light-field imaging.
  • A. Richard Ng
    Richard Ng was a popular Hong Kong actor and comedian best known for his roles in 1970s–1990s Cantonese comedies and action films.
  • B. Gilbran Chong
    Gilbran Chong is one of the children of comedian and actor Tommy Chong, known primarily for his connection to the entertainer’s family.
  • C. Carl Ng
    Carl Ng is a Hong Kong actor known for his roles in action and crime films, including a prominent part in the martial arts movie "The Man with the Iron Fists 2."
  • D. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • E. Benson Fong
    Benson Fong was an American character actor best known for his roles in mid-20th-century Hollywood films, including several entries in the Charlie Chan series.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798cf04481909f183c4c75fe6d52 completed April 20, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08762bd7e881909ceddb1b3c26a914 completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a0877b7ed888190bccc1ba665528aca completed May 16, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a087834ea1c8190b1b94c70a807668a completed May 16, 2026, 1:59 p.m.
Created at: April 16, 2026, 11:29 a.m.