Triple
T23115937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalton Transactions |
E576751
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John Dalton |
—
|
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: John Dalton | Statement: [Dalton Transactions, namedAfter, John Dalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Dalton Context triple: [Dalton Transactions, namedAfter, John Dalton]
-
A.
John Dalton
chosen
John Dalton was an English chemist, physicist, and meteorologist best known for pioneering modern atomic theory and researching color blindness.
-
B.
John Dalton
John Dalton is an English bass guitarist best known for his work with the rock band The Kinks, particularly during their late 1960s and 1970s period.
-
C.
Henry Dalton
Henry Dalton is a character in the television series "Hart of Dixie," known primarily as a romantic interest of Lemon Breeland.
-
D.
Edward Frankland
Edward Frankland was a prominent 19th-century English chemist known for his pioneering work on valence theory and organometallic compounds.
-
E.
Daniel Rutherford
Daniel Rutherford was an 18th-century Scottish physician and chemist best known for discovering nitrogen as a distinct component of air.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e1326f08190a1a0b95396cbcd17 |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:59 p.m.