Triple
T6753672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Deborah |
E154398
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Henry Meybohm |
E614093
|
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: Henry Meybohm | Statement: [Mount Deborah, firstAscentBy, Henry Meybohm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Meybohm Context triple: [Mount Deborah, firstAscentBy, Henry Meybohm]
-
A.
Henry Meybohm
chosen
Henry Meybohm was a mountaineer known for participating in the first ascent of Mount Hunter in Alaska.
-
B.
Hans Meyer
Hans Meyer was a German geographer and mountaineer best known for leading the first successful ascent of Mount Kilimanjaro in 1889.
-
C.
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.
-
D.
Eduard Meyer
Eduard Meyer was a prominent German historian and classical scholar known for his influential works on ancient history and historiography.
-
E.
Emil Sieg
Emil Sieg was a German linguist and philologist known for his pioneering work on Tocharian and other Indo-European languages.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f32fa08190bb23dc24fef14c8d |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712a793cc8190b838806151851711 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:11 p.m.