Triple
T7983292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brescia Calcio |
E185624
|
entity |
| Predicate | hasNotablePlayer |
P9730
|
FINISHED |
| Object | Dario Hübner |
E192372
|
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: Dario Hübner | Statement: [Brescia Calcio, hasNotablePlayer, Dario Hübner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dario Hübner Context triple: [Brescia Calcio, hasNotablePlayer, Dario Hübner]
-
A.
Dario Hübner
chosen
Dario Hübner is a former Italian striker renowned for his prolific goal-scoring in Serie A well into his thirties, particularly with provincial clubs.
-
B.
Harald Kloser
Harald Kloser is an Austrian composer and film producer best known for his scores for major Hollywood films such as "The Day After Tomorrow" and "2012."
-
C.
Hannes Löhr
Hannes Löhr was a German footballer and later coach, best known as a prolific forward for 1. FC Köln and as a member of the West Germany national team.
-
D.
Albin Schelbert
Albin Schelbert is a mountaineer known for being part of the team that made the first successful ascent of Dhaulagiri, one of the world’s highest peaks.
-
E.
Andreas Huber
Andreas Huber is a relatively common German-speaking personal name shared by multiple individuals across fields such as sports, engineering, and the arts.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2a1aa881909c3cea280dff38f5 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63b96ed48190b752865ef3855e46 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:15 p.m.