Triple
T20752083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke Howard |
E510747
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Luke Howard |
—
|
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: Luke Howard | Statement: [Luke Howard, name, Luke Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Howard Context triple: [Luke Howard, name, Luke Howard]
-
A.
Luke Howard
chosen
Luke Howard was an English chemist and meteorologist renowned as the "father of meteorology" for devising the modern cloud classification system in the early 19th century.
-
B.
Cleveland Abbe
Cleveland Abbe was an American meteorologist and astronomer best known as the founder of the U.S. Weather Bureau and a pioneer of modern weather forecasting.
-
C.
William Thomas Gray
William Thomas Gray is an American actor best known for playing Bud Anderson on the classic television series "Father Knows Best."
-
D.
William S. Gray
William S. Gray was an American educator and influential reading specialist best known for co-developing the "Dick and Jane" series of early reading textbooks.
-
E.
William Gray
William Gray was a prominent early American merchant and political figure from Massachusetts whose influence and legacy are reflected in regional landmarks bearing his name.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22be6588190b137193cb3184fc0 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.