Triple
T17837958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Throop Peak |
E445441
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Amos G. Throop |
E210948
|
NE FINISHED |
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: Amos G. Throop | Statement: [Throop Peak, namedAfter, Amos G. Throop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amos G. Throop Context triple: [Throop Peak, namedAfter, Amos G. Throop]
-
A.
Amos G. Throop
chosen
Amos G. Throop was an American educator and philanthropist whose early vocational school in Pasadena evolved into the California Institute of Technology.
-
B.
Enos T. Throop
Enos T. Throop was an American politician who served as the 10th governor of New York from 1829 to 1833.
-
C.
Horace W. Peaslee
Horace W. Peaslee was an American architect best known for designing prominent public monuments and civic buildings in the early to mid-20th century.
-
D.
George C. Perkins
George C. Perkins was an American politician and businessman who served as the 14th governor of California and later as a U.S. Senator.
-
E.
Theodore W. Noyes
Theodore W. Noyes was an American journalist, editor of the Washington Evening Star, and civic leader who played a key role in advancing public institutions and home rule in Washington, D.C.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d29830c81909fa3ef5a352921b8 |
completed | April 19, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b1ba79c8190b320d8071cae664d |
completed | May 14, 2026, 1:53 a.m. |
Created at: April 10, 2026, 10:16 a.m.