Triple
T4285282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Veeder |
E97252
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Peter Veeder
Peter Veeder was an individual significant enough in regional history or exploration to have Mount Veeder named in his honor.
|
E444623
|
NE FINISHED |
How this triple was built (4 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.
Edward Leede
Edward Leede was a notable Dartmouth College basketball player and benefactor after whom Dartmouth’s Leede Arena is named.
-
B.
Murray Duvall
Murray Duvall is a stylish, slang-slinging high school student and comic-relief character from the 1995 teen film and subsequent TV series "Clueless."
-
C.
Murray Wier
Murray Wier was an American professional basketball player best known for his collegiate stardom at the University of Iowa in the 1940s and subsequent career in the early NBA.
-
D.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
E.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peter Veeder Triple: [Mount Veeder, namedAfter, Peter Veeder]
Generated description
Peter Veeder was an individual significant enough in regional history or exploration to have Mount Veeder named in his honor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Veeder Target entity description: Peter Veeder was an individual significant enough in regional history or exploration to have Mount Veeder named in his honor.
-
A.
Edward Leede
Edward Leede was a notable Dartmouth College basketball player and benefactor after whom Dartmouth’s Leede Arena is named.
-
B.
Murray Duvall
Murray Duvall is a stylish, slang-slinging high school student and comic-relief character from the 1995 teen film and subsequent TV series "Clueless."
-
C.
Murray Wier
Murray Wier was an American professional basketball player best known for his collegiate stardom at the University of Iowa in the 1940s and subsequent career in the early NBA.
-
D.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
E.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
- F. None of above. chosen
Provenance (5 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505bff588190919a4ef547f607c2 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65f24783c8190a735629237069a92 |
completed | March 15, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_69b6629f40008190aeb62041f60dc188 |
completed | March 15, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b662f8dff48190ab30c045672ad7a9 |
completed | March 15, 2026, 7:42 a.m. |
Created at: March 12, 2026, 11:07 p.m.