Triple
T1033445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BEA Systems |
E22303
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object | Alfred Chuang |
E122942
|
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: Alfred Chuang | Statement: [BEA Systems, keyPerson, Alfred Chuang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfred Chuang Context triple: [BEA Systems, keyPerson, Alfred Chuang]
-
A.
Alfred Chuang
chosen
Alfred Chuang is a Chinese-American technology entrepreneur best known as the co-founder and former CEO of enterprise software company BEA Systems.
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
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.
-
D.
Charles C. Tan
Charles C. Tan was a notable benefactor and alumnus of the University of California, Berkeley, for whom the university’s chemical engineering building, Tan Hall, is named.
-
E.
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."
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b812c9948190a37c2b1d3d32ea38 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c15bb8481909ba68f5807581b18 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.