Triple
T19933160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgard |
E479106
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Wolfram Burgard |
—
|
NE NERFINISHED |
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: Wolfram Burgard | Statement: [Burgard, hasNotableBearer, Wolfram Burgard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfram Burgard Context triple: [Burgard, hasNotableBearer, Wolfram Burgard]
-
A.
Wolfram Burgard
chosen
Wolfram Burgard is a German computer scientist and roboticist known for his influential work in probabilistic robotics, autonomous navigation, and artificial intelligence.
-
B.
Michael L. Littman
Michael L. Littman is an American computer scientist and professor known for his influential research in reinforcement learning, machine learning, and artificial intelligence.
-
C.
Colin Allen
Colin Allen is an author known for his work on the book "Medicine Jar."
-
D.
Patrick J. Hayes
Patrick J. Hayes was an American cardinal of the Roman Catholic Church who served as Archbishop of New York in the early 20th century.
-
E.
Eric J. Dubowsky
Eric J. Dubowsky is a music producer known for his work with prominent contemporary artists and contributions to modern pop and electronic records.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a1553348190a6c4004d3f9a57c5 |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.