Triple
T22122545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Drumclog |
E546707
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | William Cleland |
—
|
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: William Cleland | Statement: [Battle of Drumclog, commander, William Cleland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Cleland Context triple: [Battle of Drumclog, commander, William Cleland]
-
A.
William Cleland
chosen
William Cleland was a Scottish Covenanter and soldier known for leading the Cameronian regiment in late 17th-century conflicts against Jacobite forces.
-
B.
Philip Christison
Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
-
C.
George Morton
George Morton was a 17th-century English Puritan and early supporter of the Plymouth Colony, best known for helping publish and promote accounts of the Pilgrims in England.
-
D.
Thomas Potts
Thomas Potts was a 17th-century English legal clerk and writer best known for his detailed account of the 1612 Lancashire witch trials.
-
E.
Joseph Cawthorn
Joseph Cawthorn was an American stage and film actor of the early 20th century, known for his character roles in both Broadway productions and Hollywood movies.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1297f3fb48190b6aaca18b40c37ab |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.