Triple
T9381527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Maze |
E225795
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tina Maze |
E225795
|
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: Tina Maze | Statement: [Tina Maze, name, Tina Maze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tina Maze Context triple: [Tina Maze, name, Tina Maze]
-
A.
Tina Maze
chosen
Tina Maze is a retired Slovenian alpine ski racer and one of the most successful skiers in history, known for winning multiple Olympic gold medals and overall World Cup titles.
-
B.
Anneliese Maier
Anneliese Maier was a German historian of science renowned for her influential studies on medieval natural philosophy and the history of scientific thought.
-
C.
Lara Gut-Behrami
Lara Gut-Behrami is a Swiss World Cup alpine ski racer and Olympic champion known for her success in speed events such as super-G and downhill.
-
D.
Janica Kostelić
Janica Kostelić is a Croatian alpine skier widely regarded as one of the greatest in the sport, known especially for winning multiple gold medals at the 2002 Winter Olympics.
-
E.
Anja Lechner
Anja Lechner is a German cellist renowned for her versatile performances spanning classical, contemporary, and world music collaborations.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50be52248190bc7cd9deb95a1ef8 |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f4311a548190885d82167199221b |
completed | April 4, 2026, 11:21 a.m. |
Created at: March 30, 2026, 7:44 p.m.