Triple
T20748361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Olympus (Thessaly) |
E510646
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Daniel Baud-Bovy |
—
|
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: Daniel Baud-Bovy | Statement: [Mount Olympus (Thessaly), firstAscentBy, Daniel Baud-Bovy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Baud-Bovy Context triple: [Mount Olympus (Thessaly), firstAscentBy, Daniel Baud-Bovy]
-
A.
Daniel Baud-Bovy
chosen
Daniel Baud-Bovy was a Swiss writer and mountaineer known for his pioneering climbs and contributions to the cultural and literary life of early 20th-century Switzerland.
-
B.
Marc Gisin
Marc Gisin is a Swiss former World Cup alpine ski racer known primarily as a speed specialist in downhill and super-G events.
-
C.
Rémy Chevrin
Rémy Chevrin is a French cinematographer known for his visually refined work on contemporary European films.
-
D.
Daniel Bourgeois
Daniel Bourgeois is a person notable enough to be recognized as a prominent bearer of the surname Bourgeois.
-
E.
Bruno Wechner
Bruno Wechner was an Austrian Roman Catholic prelate who became the inaugural bishop of the Diocese of Feldkirch.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c226fbf881909794eff3ee9e206b |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.