Triple
T8938588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Aris |
E212838
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Kim Aris
Kim Aris is the younger son of Burmese Nobel Peace Prize laureate Aung San Suu Kyi and the late British academic Michael Aris.
|
E767309
|
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: Kim Aris | Statement: [Michael Aris, child, Kim Aris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Aris Context triple: [Michael Aris, child, Kim Aris]
-
A.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
B.
Kim Hourn
Kim Hourn is a Cambodian academic and diplomat best known for serving as Secretary-General of the Association of Southeast Asian Nations (ASEAN).
-
C.
Akira Nishino
Akira Nishino is a Japanese football manager best known for leading Japan to the 2002 World Cup knockout stage and guiding Gamba Osaka to domestic and continental success.
-
D.
Daryn Okada
Daryn Okada is an American cinematographer known for his work on a wide range of studio films, including popular comedies and genre movies.
-
E.
Michael Shiosaki
Michael Shiosaki is an American parks and recreation professional who is publicly known as the husband of former Seattle mayor Ed Murray.
- 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: Kim Aris Triple: [Michael Aris, child, Kim Aris]
Generated description
Kim Aris is the younger son of Burmese Nobel Peace Prize laureate Aung San Suu Kyi and the late British academic Michael Aris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Aris Target entity description: Kim Aris is the younger son of Burmese Nobel Peace Prize laureate Aung San Suu Kyi and the late British academic Michael Aris.
-
A.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
B.
Kim Hourn
Kim Hourn is a Cambodian academic and diplomat best known for serving as Secretary-General of the Association of Southeast Asian Nations (ASEAN).
-
C.
Akira Nishino
Akira Nishino is a Japanese football manager best known for leading Japan to the 2002 World Cup knockout stage and guiding Gamba Osaka to domestic and continental success.
-
D.
Daryn Okada
Daryn Okada is an American cinematographer known for his work on a wide range of studio films, including popular comedies and genre movies.
-
E.
Michael Shiosaki
Michael Shiosaki is an American parks and recreation professional who is publicly known as the husband of former Seattle mayor Ed Murray.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b57a348190979effe4f9998eb7 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1eb308c81909f5be133c75ad568 |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc24b4fe481909b7c4f58b787a21e |
completed | April 3, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc33fbedc8190a8f04ec6f43891f0 |
completed | April 3, 2026, 1:40 p.m. |
Created at: March 30, 2026, 6:58 p.m.