Triple
T9705803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trend Micro |
E234894
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Jenny Chang
Jenny Chang is a Taiwanese entrepreneur best known as one of the co-founders of the global cybersecurity company Trend Micro.
|
E815213
|
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: Jenny Chang | Statement: [Trend Micro, founder, Jenny Chang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenny Chang Context triple: [Trend Micro, founder, Jenny Chang]
-
A.
Christina Chang
Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
-
B.
Amy Chiang
Amy Chiang is a member of Taiwan’s influential Chiang family, known primarily as a daughter of former President Chiang Ching-kuo.
-
C.
Lori Huang
Lori Huang is the wife of NVIDIA co-founder and CEO Jensen Huang and is known for her low public profile despite her connection to the prominent tech executive.
-
D.
Eugenia Yuan
Eugenia Yuan is a Hong Kong–born American actress and former rhythmic gymnast known for her roles in international martial arts and drama films.
-
E.
Karen Kwan
Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
- 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: Jenny Chang Triple: [Trend Micro, founder, Jenny Chang]
Generated description
Jenny Chang is a Taiwanese entrepreneur best known as one of the co-founders of the global cybersecurity company Trend Micro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jenny Chang Target entity description: Jenny Chang is a Taiwanese entrepreneur best known as one of the co-founders of the global cybersecurity company Trend Micro.
-
A.
Christina Chang
Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
-
B.
Amy Chiang
Amy Chiang is a member of Taiwan’s influential Chiang family, known primarily as a daughter of former President Chiang Ching-kuo.
-
C.
Lori Huang
Lori Huang is the wife of NVIDIA co-founder and CEO Jensen Huang and is known for her low public profile despite her connection to the prominent tech executive.
-
D.
Eugenia Yuan
Eugenia Yuan is a Hong Kong–born American actress and former rhythmic gymnast known for her roles in international martial arts and drama films.
-
E.
Karen Kwan
Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da369b4819081f6ce01289ed725 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19136b40c8190922052dd84d49f15 |
completed | April 4, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d193623fac8190a8dcdac664a977f3 |
completed | April 4, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d193cc61208190b98fe862b295dda3 |
completed | April 4, 2026, 10:42 p.m. |
Created at: March 30, 2026, 8:19 p.m.