Triple
T19939028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gansevoort, New York |
E479253
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Peter Gansevoort |
—
|
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 Gansevoort | Statement: [Gansevoort, New York, namedAfter, Peter Gansevoort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Gansevoort Context triple: [Gansevoort, New York, namedAfter, Peter Gansevoort]
-
A.
Peter Gansevoort
chosen
Peter Gansevoort was an American Revolutionary War officer best known for his successful defense of Fort Stanwix in 1777.
-
B.
Egerton Swartwout
Egerton Swartwout was an American architect known for his Beaux-Arts–influenced institutional and civic buildings in the early 20th century.
-
C.
Brian Burgoyne
Brian Burgoyne is a cinematographer known for his work on acclaimed independent films, including the romantic comedy-drama "The Big Sick."
-
D.
Robert Swartwout
Robert Swartwout was an American military officer and businessman active in the early 19th century, known for his service in the War of 1812 and involvement in New York civic affairs.
-
E.
Thomas Truxton
Thomas Truxton was an American naval officer and early U.S. Navy captain renowned for his service during the Quasi-War with France.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a19d77c819088bce99c94568d0d |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.