Triple
T613452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannes Kepler |
E12150
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kepler |
E12150
|
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: Kepler | Statement: [Johannes Kepler, familyName, Kepler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kepler Context triple: [Johannes Kepler, familyName, Kepler]
-
A.
Kepler Track
The Kepler Track is a renowned multi-day Great Walk in New Zealand, offering alpine and lakeside scenery in the Fiordland region of the South Island.
-
B.
Johannes Kepler
chosen
Johannes Kepler was a pioneering 17th-century German astronomer and mathematician best known for formulating the three laws of planetary motion that laid crucial groundwork for classical mechanics.
-
C.
Gaia
Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
-
D.
Pallas
Pallas was a British Royal Navy frigate active during the American Revolutionary War, notably engaged in North Sea operations against French and American forces.
-
E.
Hyperion
Hyperion is a romantic travelogue novel by Henry Wadsworth Longfellow that blends fiction, philosophy, and lyrical descriptions of Germany.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e08dbf88190ab050078a63e266b |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a533dabe288190ab25bd6d76e79d06 |
completed | March 2, 2026, 6:53 a.m. |
Created at: March 1, 2026, 7:35 p.m.