Triple
T18998067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russo-Turkish War (1735–1739) |
E464870
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Peter Lacy |
—
|
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: Peter Lacy | Statement: [Russo-Turkish War (1735–1739), commander, Peter Lacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Lacy Context triple: [Russo-Turkish War (1735–1739), commander, Peter Lacy]
-
A.
Peter Lacy
chosen
Peter Lacy was an Irish-born Russian field marshal and prominent 18th-century military commander who led successful campaigns for the Russian Empire in Europe.
-
B.
Franklin Lacey
Franklin Lacey was an American writer and playwright best known for collaborating with Meredith Willson on the book for the hit Broadway musical "The Music Man."
-
C.
Patrick Lucey
Patrick Lucey was an American politician and former governor of Wisconsin who later ran for vice president as an independent in the 1980 U.S. presidential election.
-
D.
Peter Lefcourt
Peter Lefcourt is an American novelist, screenwriter, and television producer known for his satirical fiction and work on various TV series.
-
E.
Jim Lacy
Jim Lacy is an American attorney, political strategist, and author known for his involvement in conservative politics and public policy in California.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6838f4481909b265e29964b0dca |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.