Triple
T22254783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hossa |
E550069
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Marián Hossa |
—
|
NE NERFINISHED |
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: Marián Hossa | Statement: [Hossa, usedBy, Marián Hossa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marián Hossa Context triple: [Hossa, usedBy, Marián Hossa]
-
A.
Marián Hossa
chosen
Marián Hossa is a Slovak former professional ice hockey winger and Hockey Hall of Famer best known for his prolific NHL career and three Stanley Cup championships with the Chicago Blackhawks.
-
B.
František Hossa
František Hossa is a Slovak ice hockey coach and former player, best known for coaching the Slovak national team and being the father of NHL players Marián and Marcel Hossa.
-
C.
Samuel Vanek
Samuel Vanek is the troubled young boy at the center of the Australian horror film "The Babadook," whose fears and behavior drive much of the movie’s psychological tension.
-
D.
Marcel Hossa
Marcel Hossa is a Slovak former professional ice hockey forward who played in the NHL and various European leagues.
-
E.
Jaroslav Halák
Jaroslav Halák is a Slovak professional ice hockey goaltender known for his standout NHL career and key performances in international competition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c1d70881908df47b0f818c0022 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.