Triple
T17808246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Veeder |
E444623
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Peter Veeder |
—
|
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 Veeder | Statement: [Mount Veeder, namedAfter, Peter Veeder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Veeder Context triple: [Mount Veeder, namedAfter, Peter Veeder]
-
A.
Peter Veeder
chosen
Peter Veeder was an individual significant enough in regional history or exploration to have Mount Veeder named in his honor.
-
B.
Edward Leede
Edward Leede was a notable Dartmouth College basketball player and benefactor after whom Dartmouth’s Leede Arena is named.
-
C.
Paul Verner
Paul Verner was a prominent East German communist politician and senior SED functionary who held key leadership roles in the German Democratic Republic.
-
D.
Paul Schoolman
Paul Schoolman is a filmmaker and writer best known for his work on independent films and for being married to South African actress Alice Krige.
-
E.
Donald Pelmear
Donald Pelmear is an actor known for his role in the classic "Doctor Who" serial "The Time Warrior."
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488779a3081908405eac4930a095f |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.