Triple
T4650833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Probabilistic Robotics |
E102290
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Dieter Fox |
E102291
|
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: Dieter Fox | Statement: [Probabilistic Robotics, author, Dieter Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dieter Fox Context triple: [Probabilistic Robotics, author, Dieter Fox]
-
A.
Dieter Fox
chosen
Dieter Fox is a prominent computer scientist and roboticist known for his contributions to probabilistic robotics, perception, and machine learning in autonomous systems.
-
B.
Sebastian Koch
Sebastian Koch is a German actor known for his acclaimed performances in films such as "The Lives of Others" and various international productions.
-
C.
Martin Reinfried
Martin Reinfried is an entrepreneur best known as a founder of the early internet search and web portal company Excite.
-
D.
Peter Hermann
Peter Hermann is an American actor and producer best known for his roles on television series such as "Law & Order: Special Victims Unit" and "Younger."
-
E.
Christopher Kroon
Christopher Kroon is an actor known for his role in the film "The Bridges of Madison County."
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6302078081909451589d39c7b28c |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0374967c8190b77bcd3ea1c4d59d |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:14 p.m.