Triple

T21570290
Position Surface form Disambiguated ID Type / Status
Subject Playdom E532264 entity
Predicate foundedBy P104 FINISHED
Object David Ma
David Ma is an entrepreneur best known as a co-founder of the social gaming company Playdom.
E1491377 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: David Ma | Statement: [Playdom, foundedBy, David Ma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Ma
Context triple: [Playdom, foundedBy, David Ma]
  • A. David So
    David So is a Korean-American comedian, YouTuber, and actor known for his sharp social commentary and roles in independent films and online content.
  • B. David MacDonald
    David MacDonald is a cinematographer known for his work on the Indian biographical drama film "Gandhi, My Father."
  • C. Daniel Chun
    Daniel Chun is a television writer and producer best known for his work on shows like "The Office," "The Simpsons," and for creating the sitcom "Grandfathered."
  • D. Kenneth Tsang
    Kenneth Tsang was a prolific Hong Kong actor known for his supporting roles in numerous action and crime films across Hong Kong and Hollywood.
  • E. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • 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: David Ma
Triple: [Playdom, foundedBy, David Ma]
Generated description
David Ma is an entrepreneur best known as a co-founder of the social gaming company Playdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Ma
Target entity description: David Ma is an entrepreneur best known as a co-founder of the social gaming company Playdom.
  • A. David So
    David So is a Korean-American comedian, YouTuber, and actor known for his sharp social commentary and roles in independent films and online content.
  • B. David MacDonald
    David MacDonald is a cinematographer known for his work on the Indian biographical drama film "Gandhi, My Father."
  • C. Daniel Chun
    Daniel Chun is a television writer and producer best known for his work on shows like "The Office," "The Simpsons," and for creating the sitcom "Grandfathered."
  • D. Kenneth Tsang
    Kenneth Tsang was a prolific Hong Kong actor known for his supporting roles in numerous action and crime films across Hong Kong and Hollywood.
  • E. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cc5c448190887a836f577d01ba completed April 27, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f6707578819095e5ac0312066df6 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f71df0308190b5953a76da60c6d4 completed May 17, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09f80784648190ae073b4db90032c1 completed May 17, 2026, 5:16 p.m.
Created at: April 16, 2026, 6:30 p.m.