Triple
T17791060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glocknerwand |
E444161
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Peter Groder |
E1288644
|
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: Peter Groder | Statement: [Glocknerwand, firstAscentBy, Peter Groder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Groder Context triple: [Glocknerwand, firstAscentBy, Peter Groder]
-
A.
Thomas Groder
chosen
Thomas Groder was an alpinist known for making the first recorded ascent of the Austrian mountain Glocknerwand.
-
B.
Peter Elkind
Peter Elkind is an American investigative journalist and author best known for co-writing the exposé on the Enron scandal that became the basis for the documentary "Enron: The Smartest Guys in the Room."
-
C.
Philip Steuer
Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
-
D.
Peter Dannenberg
Peter Dannenberg was a Russian general of the 19th century who held senior command roles in the Crimean War, including leading forces in key engagements against the Ottoman Empire.
-
E.
Peter Riegert
Peter Riegert is an American actor and director known for his roles in films such as "Animal House," "Local Hero," and "The Mask," as well as numerous television appearances.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48797408081908c48d98e1525ae87 |
completed | April 19, 2026, 7:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff58b0e48190a056be20ab303645 |
completed | May 12, 2026, 10:22 a.m. |
Created at: April 10, 2026, 10:13 a.m.