Triple
T20642822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey Line |
E507273
|
entity |
| Predicate | notableCommander |
P1197
|
FINISHED |
| Object | Israel Shreve |
—
|
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: Israel Shreve | Statement: [New Jersey Line, notableCommander, Israel Shreve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Israel Shreve Context triple: [New Jersey Line, notableCommander, Israel Shreve]
-
A.
Israel Shreve
chosen
Israel Shreve was an American officer in the Continental Army during the Revolutionary War, recognized for his leadership of New Jersey troops in several key campaigns.
-
B.
Arthur Hoyt
Arthur Hoyt was an American character actor of the silent and early sound film era, known for his frequent supporting roles in Hollywood movies.
-
C.
William Tharp
William Tharp was a 19th-century American politician who served as the 36th Governor of Delaware.
-
D.
George Corson
George Corson was a 19th-century British architect known for his significant contributions to the architectural landscape of Leeds, England.
-
E.
R.C. Slocum
R.C. Slocum is a longtime American college football coach best known for leading Texas A&M to sustained success and multiple conference titles in the late 20th century.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1c51f48190abba54a5aace9fc8 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.