Triple
T21570315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playdom |
E532264
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Jason Wang
Jason Wang is an entrepreneur best known as a co-founder of the social gaming company Playdom.
|
E1497074
|
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: Jason Wang | Statement: [Playdom, foundedBy, Jason Wang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Wang Context triple: [Playdom, foundedBy, Jason Wang]
-
A.
Jonathan Wang
Jonathan Wang is a film producer best known for his work on the acclaimed, genre-bending movie "Everything Everywhere All at Once."
-
B.
William Wang
William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
-
C.
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."
-
D.
Edward Wang
Edward Wang is an entrepreneur best known as a founder of the virtualization and cloud computing company VMware.
-
E.
Peter Wang
Peter Wang was a Taiwanese-American actor and filmmaker best known for his role in the influential Asian American independent film "Chan Is Missing."
- 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: Jason Wang Triple: [Playdom, foundedBy, Jason Wang]
Generated description
Jason Wang 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: Jason Wang Target entity description: Jason Wang is an entrepreneur best known as a co-founder of the social gaming company Playdom.
-
A.
Jonathan Wang
Jonathan Wang is a film producer best known for his work on the acclaimed, genre-bending movie "Everything Everywhere All at Once."
-
B.
William Wang
William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
-
C.
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."
-
D.
Edward Wang
Edward Wang is an entrepreneur best known as a founder of the virtualization and cloud computing company VMware.
-
E.
Peter Wang
Peter Wang was a Taiwanese-American actor and filmmaker best known for his role in the influential Asian American independent film "Chan Is Missing."
- 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_6a0a1e070af88190a4a017651febb201 |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a1ee2662c8190887c9fd2073fcd12 |
completed | May 17, 2026, 8:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1fb328e081908b39b4c85cb23d1e |
completed | May 17, 2026, 8:06 p.m. |
Created at: April 16, 2026, 6:30 p.m.