Triple
T13911711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Meg |
E334512
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Shuya Sophia Cai
Shuya Sophia Cai is a Chinese-Australian child actress best known for her role in the science fiction shark film "The Meg."
|
E1067237
|
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: Shuya Sophia Cai | Statement: [The Meg, castMember, Shuya Sophia Cai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shuya Sophia Cai Context triple: [The Meg, castMember, Shuya Sophia Cai]
-
A.
Sophia Young
Sophia Young is a retired WNBA forward best known as a multi-time All-Star and franchise cornerstone of the San Antonio Silver Stars.
-
B.
Sophie Chang
Sophie Chang is best known as the wife of Morris Chang, the influential founder of Taiwan Semiconductor Manufacturing Company (TSMC).
-
C.
Annabel Yao
Annabel Yao is a Chinese socialite and computer science graduate known both for her debut in high society circles and as the daughter of Huawei founder Ren Zhengfei.
-
D.
Juliana Chew
Juliana Chew is a notable member of the Chew family, recognized for her significance within this prominent lineage.
-
E.
Mia Yoo
Mia Yoo is a theatre director and arts leader best known for heading New York’s influential La MaMa Experimental Theatre Club, where she champions innovative and international performance.
- 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: Shuya Sophia Cai Triple: [The Meg, castMember, Shuya Sophia Cai]
Generated description
Shuya Sophia Cai is a Chinese-Australian child actress best known for her role in the science fiction shark film "The Meg."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shuya Sophia Cai Target entity description: Shuya Sophia Cai is a Chinese-Australian child actress best known for her role in the science fiction shark film "The Meg."
-
A.
Sophia Young
Sophia Young is a retired WNBA forward best known as a multi-time All-Star and franchise cornerstone of the San Antonio Silver Stars.
-
B.
Sophie Chang
Sophie Chang is best known as the wife of Morris Chang, the influential founder of Taiwan Semiconductor Manufacturing Company (TSMC).
-
C.
Annabel Yao
Annabel Yao is a Chinese socialite and computer science graduate known both for her debut in high society circles and as the daughter of Huawei founder Ren Zhengfei.
-
D.
Juliana Chew
Juliana Chew is a notable member of the Chew family, recognized for her significance within this prominent lineage.
-
E.
Mia Yoo
Mia Yoo is a theatre director and arts leader best known for heading New York’s influential La MaMa Experimental Theatre Club, where she champions innovative and international performance.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2723461881908376b5509ee0d530 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72879e48190ac01d0a2023b098c |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c7b9e4888190822501d439df142a |
completed | May 3, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c83e31d4819094209406fc99456a |
completed | May 3, 2026, 10:12 p.m. |
Created at: April 9, 2026, 10:16 p.m.