Triple
T3557663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford Artificial Intelligence Laboratory |
E75257
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Jure Leskovec |
E356904
|
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: Jure Leskovec | Statement: [Stanford Artificial Intelligence Laboratory, notableMember, Jure Leskovec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jure Leskovec Context triple: [Stanford Artificial Intelligence Laboratory, notableMember, Jure Leskovec]
-
A.
Jure Leskovec
chosen
Jure Leskovec is a prominent computer scientist known for his influential work in data mining, social network analysis, and machine learning, particularly on large-scale graph data.
-
B.
Denny Vrandečić
Denny Vrandečić is a Croatian computer scientist and Wikimedian best known for founding Wikidata and proposing the Wikifunctions project.
-
C.
Jon Kleinberg
Jon Kleinberg is a prominent computer scientist known for his influential work in algorithms, networks, and data science, particularly in the analysis of large-scale social and information networks.
-
D.
Daphne Koller
Daphne Koller is a computer scientist and entrepreneur best known as the co-founder of the online education platform Coursera and for her influential work in probabilistic graphical models and machine learning.
-
E.
Andrew B. Moore
Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc086e6688190b90ae356e18b953e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb95bcc88190abf1ea2efc30faeb |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:20 p.m.