Triple
T19710732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Bare Bears |
E473337
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Daniel Chong
Daniel Chong is an American animator, writer, and director best known for creating the Cartoon Network animated series "We Bare Bears."
|
E1390878
|
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: Daniel Chong | Statement: [We Bare Bears, creator, Daniel Chong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Chong Context triple: [We Bare Bears, creator, Daniel Chong]
-
A.
Desmond Choo
Desmond Choo is a Singaporean politician and trade union leader who serves as a Member of Parliament and a key figure in the National Trades Union Congress (NTUC).
-
B.
Adrian Tan
Adrian Tan was a prominent Singaporean lawyer and author best known for his satirical novels and leadership in the legal community.
-
C.
Gabriel Goh
Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.
-
D.
Mark Chee
Mark Chee is a molecular biologist and entrepreneur best known as a co-founder of Illumina, a leading company in DNA sequencing and genomics technologies.
-
E.
Adrian Pang
Adrian Pang is a prominent Singaporean actor and television host known for his work in theatre, film, and local TV dramas.
- 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: Daniel Chong Triple: [We Bare Bears, creator, Daniel Chong]
Generated description
Daniel Chong is an American animator, writer, and director best known for creating the Cartoon Network animated series "We Bare Bears."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Chong Target entity description: Daniel Chong is an American animator, writer, and director best known for creating the Cartoon Network animated series "We Bare Bears."
-
A.
Desmond Choo
Desmond Choo is a Singaporean politician and trade union leader who serves as a Member of Parliament and a key figure in the National Trades Union Congress (NTUC).
-
B.
Adrian Tan
Adrian Tan was a prominent Singaporean lawyer and author best known for his satirical novels and leadership in the legal community.
-
C.
Gabriel Goh
Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.
-
D.
Mark Chee
Mark Chee is a molecular biologist and entrepreneur best known as a co-founder of Illumina, a leading company in DNA sequencing and genomics technologies.
-
E.
Adrian Pang
Adrian Pang is a prominent Singaporean actor and television host known for his work in theatre, film, and local TV dramas.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64407ed208190944ae43b5e44bbdc |
completed | April 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab9ea0708190ba465450a31e5aef |
completed | May 15, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a07ac97c68c819094b8013f6134ba8a |
completed | May 15, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ae88e76481908b9a6fda698eec12 |
completed | May 15, 2026, 11:38 p.m. |
Created at: April 10, 2026, 1:46 p.m.