Triple
T5750724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauteraarhorn |
E126844
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object |
H. Währen
H. Währen was a mountaineer known for participating in the first recorded ascent of the Lauteraarhorn in the Swiss Alps.
|
E543793
|
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: H. Währen | Statement: [Lauteraarhorn, firstAscentBy, H. Währen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H. Währen Context triple: [Lauteraarhorn, firstAscentBy, H. Währen]
-
A.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
B.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
-
C.
Mossenberg-Wöhren
Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
-
D.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
- 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: H. Währen Triple: [Lauteraarhorn, firstAscentBy, H. Währen]
Generated description
H. Währen was a mountaineer known for participating in the first recorded ascent of the Lauteraarhorn in the Swiss Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: H. Währen Target entity description: H. Währen was a mountaineer known for participating in the first recorded ascent of the Lauteraarhorn in the Swiss Alps.
-
A.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
B.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
-
C.
Mossenberg-Wöhren
Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
-
D.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288a0ea8819091ac6f965471ceee |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3a50b88190a943b2d91d3c5b8e |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c0880ef8608190a602c7b9c7f753fb |
completed | March 23, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c088cff95481908a8e04e763269062 |
completed | March 23, 2026, 12:26 a.m. |
Created at: March 22, 2026, 3:48 p.m.