Triple
T8447905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loris Martini |
E199721
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Loris Martini |
E199721
|
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: Loris Martini | Statement: [Loris Martini, name, Loris Martini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loris Martini Context triple: [Loris Martini, name, Loris Martini]
-
A.
Loris Martini
chosen
Loris Martini is an individual notable enough to be recognized as a bearer of the Martini surname.
-
B.
Stefano Martini
Stefano Martini is an individual notable enough to be recognized as a significant bearer of the Martini surname.
-
C.
Vitantonio Liuzzi
Vitantonio Liuzzi is an Italian racing driver best known for his career in Formula One during the mid-2000s and early 2010s with teams including Red Bull and its junior outfit.
-
D.
Roberto De Angelis
Roberto De Angelis is a cinematographer known for his work on major feature films, including the action-comedy sequel "Bad Boys for Life."
-
E.
Niki Rüttimann
Niki Rüttimann is a Swiss former professional road cyclist known for his successes in major European stage races during the 1980s.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44480ec8190b32443a53cd4f943 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dbf2e2c8190b20e842438acb4d5 |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:09 p.m.