Triple
T4911916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfram Burgard |
E110251
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Probabilistic Robotics |
E102290
|
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: Probabilistic Robotics | Statement: [Wolfram Burgard, notableWork, Probabilistic Robotics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Probabilistic Robotics Context triple: [Wolfram Burgard, notableWork, Probabilistic Robotics]
-
A.
book "Probabilistic Robotics"
chosen
"Probabilistic Robotics" is a foundational textbook that systematically introduces probabilistic methods for perception, localization, and control in mobile robotics.
-
B.
Monte Carlo localization
Monte Carlo localization is a probabilistic robotics algorithm that uses particle filters to estimate a robot’s pose within a known map based on noisy sensor and motion data.
-
C.
Robotics: Modelling, Planning and Control
"Robotics: Modelling, Planning and Control" is a widely used advanced robotics textbook that systematically covers the mathematical foundations, algorithms, and practical methods for modeling, planning, and controlling robotic systems.
-
D.
CMU Highly Intelligent Mobile Platform
CMU Highly Intelligent Mobile Platform (CHIMP) is a sophisticated humanoid robot developed at Carnegie Mellon University for advanced mobility, manipulation, and autonomous operation in challenging environments.
-
E.
Probabilistic Graphical Models: Principles and Techniques
Probabilistic Graphical Models: Principles and Techniques is a foundational textbook that systematically presents the theory, algorithms, and applications of probabilistic graphical models in machine learning and artificial intelligence.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9c32148190a940a3733ecd1898 |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fe7a0f48190b666202a97b32c7d |
completed | March 21, 2026, 10:16 a.m. |
Created at: March 20, 2026, 1:29 p.m.