Triple
T13214799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkwood gaps |
E314582
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Daniel Kirkwood |
E80098
|
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: Daniel Kirkwood | Statement: [Kirkwood gaps, namedAfter, Daniel Kirkwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Kirkwood Context triple: [Kirkwood gaps, namedAfter, Daniel Kirkwood]
-
A.
Daniel Kirkwood
chosen
Daniel Kirkwood was a 19th-century American astronomer best known for discovering the Kirkwood gaps in the asteroid belt.
-
B.
John Gamble Kirkwood
John Gamble Kirkwood was an influential American theoretical chemist and physicist known for his foundational contributions to statistical mechanics and the theory of liquids.
-
C.
John L. Kirk
John L. Kirk was an English doctor and collector whose extensive assemblage of everyday historical objects led to the creation of York Castle Museum in York, England.
-
D.
William M. Hartmann
William M. Hartmann is an American physicist and psychoacoustician known for his influential research on auditory perception and acoustics.
-
E.
R. K. Kirkwood
R. K. Kirkwood is a physicist known for his contributions to plasma physics and high-energy-density science.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305a8c108190aff4e4797370f3d3 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:18 p.m.