Triple
T21843033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Chen |
E539300
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Peter Hui
Peter Hui is known primarily as the husband of Chinese-American actress and director Joan Chen.
|
E1504852
|
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: Peter Hui | Statement: [Joan Chen, spouse, Peter Hui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Hui Context triple: [Joan Chen, spouse, Peter Hui]
-
A.
Peter Kwong
Peter Kwong is an American character actor best known for his roles in genre films and television, including cult favorites from the 1980s and 1990s.
-
B.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
C.
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
-
D.
Edward Tsang Lu
Edward Tsang Lu is an American physicist and former NASA astronaut who flew on multiple Space Shuttle missions and later co-founded the B612 Foundation to work on planetary defense from asteroids.
-
E.
Gerald Chan
Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
- 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: Peter Hui Triple: [Joan Chen, spouse, Peter Hui]
Generated description
Peter Hui is known primarily as the husband of Chinese-American actress and director Joan Chen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Hui Target entity description: Peter Hui is known primarily as the husband of Chinese-American actress and director Joan Chen.
-
A.
Peter Kwong
Peter Kwong is an American character actor best known for his roles in genre films and television, including cult favorites from the 1980s and 1990s.
-
B.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
C.
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
-
D.
Edward Tsang Lu
Edward Tsang Lu is an American physicist and former NASA astronaut who flew on multiple Space Shuttle missions and later co-founded the B612 Foundation to work on planetary defense from asteroids.
-
E.
Gerald Chan
Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bc8b0fc8190a1ce537e302a3458 |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4cbcf4f88190b62e37214f00c496 |
completed | May 17, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4d213ea48190b170e28b10a0c92f |
completed | May 17, 2026, 11:20 p.m. |
Created at: April 16, 2026, 6:55 p.m.