Triple
T4833462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inception architecture |
E107999
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | Wei Liu |
E111970
|
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: Wei Liu | Statement: [Inception architecture, introducedBy, Wei Liu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wei Liu Context triple: [Inception architecture, introducedBy, Wei Liu]
-
A.
Wei Liu
chosen
Wei Liu is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work on object detection.
-
B.
Huan Liu
Huan Liu is a prominent computer scientist known for his influential research in data mining and machine learning, particularly in feature selection and social media analytics.
-
C.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
-
D.
Jian Sun
Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
-
E.
Xindong Wu
Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cca88d88190a8ad6cf7856bdf69 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd744688190a420580e3a8332ff |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:25 p.m.