Triple
T18699936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petit Dru |
E457218
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Kaspard Maurer |
—
|
NE NERFINISHED |
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: Kaspard Maurer | Statement: [Petit Dru, firstAscentBy, Kaspard Maurer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaspard Maurer Context triple: [Petit Dru, firstAscentBy, Kaspard Maurer]
-
A.
Kaspard Maurer
chosen
Kaspard Maurer was a mountaineer known for being among the first climbers to ascend the peak of Les Drus in the Mont Blanc massif.
-
B.
Jonas Kahnwald
Jonas Kahnwald is the time-traveling protagonist of the German sci-fi thriller series "Dark," whose complex journey across multiple timelines drives the show's central mystery.
-
C.
Stephan Zacharias
Stephan Zacharias is a German film composer known for his dramatic and historically themed scores, including his work on the World War II film "Downfall."
-
D.
Sebastian Maltz
Sebastian Maltz is an actor known for his role in the television drama series "Patrick Melrose."
-
E.
Jonas Saur
Jonas Saur was an early 17th-century printer known for producing Johannes Kepler’s influential astronomical work, the Rudolphine Tables.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562eb06b481908ef9efdb976008f3 |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.