Triple
T15511807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fei-Fei Li |
E368727
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Fei-Fei Li |
E368727
|
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: Fei-Fei Li | Statement: [Fei-Fei Li, name, Fei-Fei Li]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fei-Fei Li Context triple: [Fei-Fei Li, name, Fei-Fei Li]
-
A.
Fei-Fei Li
chosen
Fei-Fei Li is a prominent computer scientist and AI researcher known for her pioneering work in computer vision and as a leading figure in ethical and human-centered artificial intelligence.
-
B.
Corinna Cortes
Corinna Cortes is a prominent computer scientist known for her contributions to machine learning and pattern recognition, including co-developing the widely used MNIST dataset and the support vector machine (SVM) framework.
-
C.
Andrew Ng
Andrew Ng is a prominent computer scientist and entrepreneur known for his pioneering work in artificial intelligence and deep learning, as well as co-founding Google Brain and the online education platform Coursera.
-
D.
Jia Deng
Jia Deng is a computer scientist known for his influential work in computer vision and machine learning, particularly as a co-creator of the large-scale image dataset ImageNet.
-
E.
John Giannandrea
John Giannandrea is a prominent computer scientist and technology executive known for leading artificial intelligence and machine learning efforts at major tech companies, including Apple.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04030c0208190a1931ea130075603 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3671a4448190b81edae6ff2669a7 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:56 a.m.