Triple
T1738416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann Maier |
E37972
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hermann Maier |
E37972
|
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: Hermann Maier | Statement: [Hermann Maier, name, Hermann Maier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermann Maier Context triple: [Hermann Maier, name, Hermann Maier]
-
A.
Hermann Maier
chosen
Hermann Maier is an Austrian alpine ski racer and multiple Olympic and World Cup champion renowned for his powerful, aggressive style and dominance in the late 1990s and early 2000s.
-
B.
Matthias Zurbriggen
Matthias Zurbriggen was a Swiss mountaineer and guide renowned for making the first recorded ascent of Aconcagua and several other significant climbs in the Andes and Himalayas.
-
C.
Sepp Jöchler
Sepp Jöchler was an Austrian mountaineer known for being one of the climbers who made the first ascent of Cho Oyu, one of the world’s highest peaks.
-
D.
Sepp Klotz
Sepp Klotz was a mountaineer known for being among the first climbers to successfully ascend Austria’s highest peak, the Grossglockner.
-
E.
Ueli Maurer
Ueli Maurer is a Swiss mathematician and computer scientist renowned for his contributions to cryptography and information security.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c35aec8190b5c19ace5524173f |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b03303c8190a301dca327bf9f47 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.