Triple
T14842559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew T. Hsu |
E348999
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Andrew T. Hsu |
E348999
|
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: Andrew T. Hsu | Statement: [Andrew T. Hsu, name, Andrew T. Hsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew T. Hsu Context triple: [Andrew T. Hsu, name, Andrew T. Hsu]
-
A.
Andrew T. Hsu
chosen
Andrew T. Hsu is an academic leader and engineer who serves as the president of the College of Charleston.
-
B.
Philip S. Yu
Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
-
C.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
D.
David H. Tu
David H. Tu is a biotechnology entrepreneur best known as a founder of the DNA sequencing company Pacific Biosciences.
-
E.
Eric S. Yuan
Eric S. Yuan is a Chinese-American entrepreneur best known as the founder and CEO of Zoom Video Communications, a leading video conferencing platform.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28fa49c81908d1059e6cafd607f |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38ab372881909f60435e73424aea |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:53 a.m.