Triple
T21570284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playdom |
E532264
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Dan Yue
Dan Yue is an entrepreneur best known as a co-founder of the social gaming company Playdom.
|
E1491371
|
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: Dan Yue | Statement: [Playdom, foundedBy, Dan Yue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Yue Context triple: [Playdom, foundedBy, Dan Yue]
-
A.
Yao Chen
Yao Chen is a prominent Chinese actress and philanthropist known for her influential social media presence and advocacy on social issues.
-
B.
Danqi Chen
Danqi Chen is a prominent computer scientist and natural language processing researcher known for her work on neural reading comprehension and information retrieval.
-
C.
Dan Huiting
Dan Huiting is a music video director known for his visually distinctive work with indie and alternative artists.
-
D.
Luyu Yang
Luyu Yang is an entrepreneur best known as a co-founder of the short-form video platform Musical.ly, which later merged into TikTok.
-
E.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
- 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: Dan Yue Triple: [Playdom, foundedBy, Dan Yue]
Generated description
Dan Yue 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: Dan Yue Target entity description: Dan Yue is an entrepreneur best known as a co-founder of the social gaming company Playdom.
-
A.
Yao Chen
Yao Chen is a prominent Chinese actress and philanthropist known for her influential social media presence and advocacy on social issues.
-
B.
Danqi Chen
Danqi Chen is a prominent computer scientist and natural language processing researcher known for her work on neural reading comprehension and information retrieval.
-
C.
Dan Huiting
Dan Huiting is a music video director known for his visually distinctive work with indie and alternative artists.
-
D.
Luyu Yang
Luyu Yang is an entrepreneur best known as a co-founder of the short-form video platform Musical.ly, which later merged into TikTok.
-
E.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
- 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.