Triple

T4866609
Position Surface form Disambiguated ID Type / Status
Subject Before Columbus Foundation E108986 entity
Predicate foundedBy P104 FINISHED
Object Sean Wong
Sean Wong is an American writer and editor known for his contributions to Asian American literature and for co-founding the Before Columbus Foundation, which promotes multicultural literature.
E476932 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: Sean Wong | Statement: [Before Columbus Foundation, foundedBy, Sean Wong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Wong
Context triple: [Before Columbus Foundation, foundedBy, Sean Wong]
  • A. Stephen Wong
    Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
  • B. Jason Wong
    Jason Wong is a British actor known for his roles in film and television, including his appearance in Guy Ritchie's crime-comedy series "The Gentlemen."
  • C. Victor Wong
    Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
  • D. Tony Wu
    Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
  • E. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • 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: Sean Wong
Triple: [Before Columbus Foundation, foundedBy, Sean Wong]
Generated description
Sean Wong is an American writer and editor known for his contributions to Asian American literature and for co-founding the Before Columbus Foundation, which promotes multicultural literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sean Wong
Target entity description: Sean Wong is an American writer and editor known for his contributions to Asian American literature and for co-founding the Before Columbus Foundation, which promotes multicultural literature.
  • A. Stephen Wong
    Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
  • B. Jason Wong
    Jason Wong is a British actor known for his roles in film and television, including his appearance in Guy Ritchie's crime-comedy series "The Gentlemen."
  • C. Victor Wong
    Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
  • D. Tony Wu
    Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
  • E. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7a42f88190bb1ef7261bcbc2a8 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67e5d96c8190b2a509d9fb81211a completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be693b36b08190a0de648f0c5bdc60 completed March 21, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69be69a16b0c8190b0a787bb54b31fc3 completed March 21, 2026, 9:49 a.m.
Created at: March 20, 2026, 1:26 p.m.