Triple

T21570320
Position Surface form Disambiguated ID Type / Status
Subject Playdom E532264 entity
Predicate foundedBy P104 FINISHED
Object Michael Wang
Michael Wang is an entrepreneur best known as a founder of the social gaming company Playdom.
E1498418 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: Michael Wang | Statement: [Playdom, foundedBy, Michael Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Wang
Context triple: [Playdom, foundedBy, Michael Wang]
  • A. Chris Wang
    Chris Wang is an entrepreneur best known as a co-founder and former CEO of the social gaming company Playdom.
  • B. Jonathan Wang
    Jonathan Wang is a film producer best known for his work on the acclaimed, genre-bending movie "Everything Everywhere All at Once."
  • C. Richard Wang
    Richard Wang is a relatively common personal name that may refer to multiple individuals across various professional and academic fields.
  • D. William Wei
    William Wei is a Taiwanese singer-songwriter known for his emotive Mandarin pop ballads and acclaimed musicianship.
  • E. Gary Wang
    Gary Wang is a Chinese entrepreneur best known as the co-founder of Tudou, one of China’s earliest and largest online video-sharing platforms.
  • 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: Michael Wang
Triple: [Playdom, foundedBy, Michael Wang]
Generated description
Michael Wang is an entrepreneur best known as a founder of the social gaming company Playdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Wang
Target entity description: Michael Wang is an entrepreneur best known as a founder of the social gaming company Playdom.
  • A. Chris Wang
    Chris Wang is an entrepreneur best known as a co-founder and former CEO of the social gaming company Playdom.
  • B. Jonathan Wang
    Jonathan Wang is a film producer best known for his work on the acclaimed, genre-bending movie "Everything Everywhere All at Once."
  • C. Richard Wang
    Richard Wang is a relatively common personal name that may refer to multiple individuals across various professional and academic fields.
  • D. William Wei
    William Wei is a Taiwanese singer-songwriter known for his emotive Mandarin pop ballads and acclaimed musicianship.
  • E. Gary Wang
    Gary Wang is a Chinese entrepreneur best known as the co-founder of Tudou, one of China’s earliest and largest online video-sharing platforms.
  • 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_6a0a249aea108190b9954345bab537d6 completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a277b5c2c8190a1f27decb7cedf58 completed May 17, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_6a0a2802f0d481908cb62d5b95098d3b completed May 17, 2026, 8:41 p.m.
Created at: April 16, 2026, 6:30 p.m.