Triple
T22796456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Hezonja |
E564259
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Mario Hezonja |
—
|
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: Mario Hezonja | Statement: [Mario Hezonja, fullName, Mario Hezonja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Hezonja Context triple: [Mario Hezonja, fullName, Mario Hezonja]
-
A.
Mario Hezonja
chosen
Mario Hezonja is a Croatian professional basketball player known for his athletic wing play and stints in both the NBA and top European leagues.
-
B.
Bojan Bozovic
Bojan Bozovic is a writer best known for contributing the story that inspired the psychological horror film "A Cure for Wellness."
-
C.
Luca Bercovici
Luca Bercovici is an American filmmaker and actor best known for his work in 1980s horror cinema, including directing the cult creature feature "Ghoulies."
-
D.
Enzo Vogrincic
Enzo Vogrincic is a Uruguayan actor best known for his prominent role in the survival drama film "La sociedad de la nieve" ("Society of the Snow").
-
E.
Johnny Griparic
Johnny Griparic is a rock bassist best known for his work with Slash’s Snakepit and other hard rock and blues-influenced projects.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd9b3c0819096050f43a829ec0d |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.