Triple
T21570323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playdom |
E532264
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Alex Wang
Alex Wang is an entrepreneur best known as a co-founder of the social gaming company Playdom, which developed popular games for social networking platforms.
|
E1504354
|
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: Alex Wang | Statement: [Playdom, foundedBy, Alex Wang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Wang Context triple: [Playdom, foundedBy, Alex Wang]
-
A.
Jason Wang
Jason Wang is an entrepreneur best known as a co-founder 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.
Chris Wang
Chris Wang is an entrepreneur best known as a co-founder and former CEO of the social gaming company Playdom.
-
D.
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."
-
E.
Edward Wang
Edward Wang is an entrepreneur best known as a founder of the virtualization and cloud computing company VMware.
- 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: Alex Wang Triple: [Playdom, foundedBy, Alex Wang]
Generated description
Alex Wang is an entrepreneur best known as a co-founder of the social gaming company Playdom, which developed popular games for social networking platforms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Wang Target entity description: Alex Wang is an entrepreneur best known as a co-founder of the social gaming company Playdom, which developed popular games for social networking platforms.
-
A.
Jason Wang
Jason Wang is an entrepreneur best known as a co-founder 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.
Chris Wang
Chris Wang is an entrepreneur best known as a co-founder and former CEO of the social gaming company Playdom.
-
D.
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."
-
E.
Edward Wang
Edward Wang is an entrepreneur best known as a founder of the virtualization and cloud computing company VMware.
- 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_6a0a4bb5805081909e68cbd61d123870 |
completed | May 17, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_6a0a4c131b648190941732379c8d59a7 |
completed | May 17, 2026, 11:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4c6822888190beef01f049b91fac |
completed | May 17, 2026, 11:16 p.m. |
Created at: April 16, 2026, 6:30 p.m.