Triple
T9633461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Soetoro-Ng |
E232862
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Konrad Ng |
E232863
|
NE FINISHED |
How this triple was built (2 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: Konrad Ng | Statement: [Maya Soetoro-Ng, spouse, Konrad Ng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konrad Ng Context triple: [Maya Soetoro-Ng, spouse, Konrad Ng]
-
A.
Konrad Ng
chosen
Konrad Ng is a Canadian-American scholar and former director of the Smithsonian Asian Pacific American Center, known also as the husband of Maya Soetoro-Ng, Barack Obama’s half-sister.
-
B.
Jim Cheung
Jim Cheung is a British comic book artist best known for his detailed, dynamic work on major Marvel titles such as Young Avengers and various large-scale crossover events.
-
C.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
D.
Victor Wong
Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
-
E.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b28ce2c819086d3c6e4e6ea95a7 |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18232e34c8190a19685ee9210e88b |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:11 p.m.