Triple
T21799054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classics |
E538183
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Nostrand |
—
|
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: Nostrand | Statement: [Classics, hasPart, Nostrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nostrand Context triple: [Classics, hasPart, Nostrand]
-
A.
Nostrand
chosen
Nostrand is a surname most notably associated with American professional basketball player George Nostrand.
-
B.
Gansevoort
Gansevoort is a masculine given name of Dutch origin, most notably borne by Gansevoort Melville, the older brother of American author Herman Melville.
-
C.
Stuyvesand
Stuyvesand is an alternative spelling of the Dutch surname "Stuyvesant," historically associated with New Netherland’s last Dutch director-general, Peter Stuyvesant.
-
D.
Lapham
Lapham is a surname most notably associated with Roger D. Lapham, an American shipping executive and former mayor of San Francisco.
-
E.
Tremont
Tremont is a small coastal town on Mount Desert Island in Maine known for its working harbors and quieter, less-touristed character compared to nearby Bar Harbor.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fd59048190ae4e50f4aee919e7 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.