Triple
T17416683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Bunsen |
E423506
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Bunsen burner |
—
|
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: Bunsen burner | Statement: [Robert Bunsen, knownFor, Bunsen burner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunsen burner Context triple: [Robert Bunsen, knownFor, Bunsen burner]
-
A.
Bunsen
chosen
Bunsen is a German surname most famously associated with chemist Robert Bunsen, co-developer of the Bunsen burner.
-
B.
Bunsen cell
The Bunsen cell is a 19th-century zinc–carbon electrochemical cell that provided a relatively powerful and inexpensive source of direct current for early laboratory and industrial applications.
-
C.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
-
D.
Shannon Blowtorch
Shannon Blowtorch is a Minneapolis-based DJ and producer known for her work in the local music scene and collaborations with various indie and hip-hop artists.
-
E.
Estufa Quente
Estufa Quente is a historic greenhouse complex in Lisbon, Portugal, known for its lush exotic plant collections and scenic setting within Eduardo VII Park.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44232ecdc8190ac8958c1780fea19 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.