Triple
T2362013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ven Te Chow |
E47294
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ven Te Chow |
E47294
|
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: Ven Te Chow | Statement: [Ven Te Chow, name, Ven Te Chow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ven Te Chow Context triple: [Ven Te Chow, name, Ven Te Chow]
-
A.
Ven Te Chow
chosen
Ven Te Chow was a prominent Chinese-American hydrologist and civil engineer renowned for his foundational contributions to modern hydrology and water resources engineering.
-
B.
Mung Chiang
Mung Chiang is an engineer and academic leader known for his work in electrical and computer engineering and for serving as president of Purdue University.
-
C.
Yuan-Cheng Fung
Yuan-Cheng Fung was a pioneering bioengineer often regarded as the "father of modern biomechanics" for his foundational contributions to the mechanics of living tissues.
-
D.
Y. W. Lee
Y. W. Lee was an academic mentor and electrical engineering scholar known for supervising future internet pioneer Leonard Kleinrock during his doctoral studies.
-
E.
Yu-Chi Ho
Yu-Chi Ho is a prominent control theorist and engineer known for his pioneering contributions to optimal control, dynamic systems, and game theory.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc723c66481908a9b94991f651b3b |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8938d5481908ed11efcc8840ca4 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:55 p.m.