Triple
T10450035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lhotse |
E246395
|
entity |
| Predicate | firstAscendedBy |
P1321
|
FINISHED |
| Object | Ernst Reiss |
E252410
|
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: Ernst Reiss | Statement: [Lhotse, firstAscendedBy, Ernst Reiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernst Reiss Context triple: [Lhotse, firstAscendedBy, Ernst Reiss]
-
A.
Ernst Reiss
chosen
Ernst Reiss was a Swiss mountaineer best known for making the first ascent of Lhotse, the world’s fourth-highest mountain.
-
B.
Gustav Riebmann
Gustav Riebmann is a fictional character from the American prime-time soap opera "Falcon Crest," known for being a powerful and manipulative antagonist.
-
C.
Ernst Woermann
Ernst Woermann was a German diplomat and high-ranking Foreign Office official in Nazi Germany who was later prosecuted for his role in the regime’s policies at the postwar Wilhelmstrasse Trial.
-
D.
Hermann Bruns
Hermann Bruns was a German mathematician known for his contributions to celestial mechanics and potential theory in the late 19th and early 20th centuries.
-
E.
Otto Josten
Otto Josten was the founder of Jostens, the American company best known for producing class rings, yearbooks, and other school-related memorabilia.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43ee693048190a8c7ecdf8724d3ec |
completed | May 1, 2026, 5:49 a.m. |
Created at: April 6, 2026, 12:17 p.m.