Triple
T19955232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungary at the Olympic Games |
E479663
|
entity |
| Predicate | notableAthlete |
P10392
|
FINISHED |
| Object | Tamás Darnyi |
—
|
NE NERFINISHED |
How this triple was built (3 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: Tamás Darnyi | Statement: [Hungary at the Olympic Games, notableAthlete, Tamás Darnyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamás Darnyi Context triple: [Hungary at the Olympic Games, notableAthlete, Tamás Darnyi]
-
A.
Zoltán Várkonyi
Zoltán Várkonyi was a prominent Hungarian actor and film director, known for his influential work in mid-20th-century Hungarian cinema.
-
B.
Zoltán Fábri
Zoltán Fábri was a prominent 20th-century Hungarian film director known for his humanist, psychologically rich dramas and influential contributions to postwar Hungarian cinema.
-
C.
Miklós László
Miklós László was a Hungarian-born playwright best known for writing the stage play that inspired the classic film "The Shop Around the Corner."
-
D.
László Kürti
László Kürti is a Hungarian-born organic chemist and professor known for his research in synthetic methodology and co-authoring the reference work "Molecules and Medicine."
-
E.
László Szabó
László Szabó is a Hungarian-born French actor and filmmaker known for his work in European art cinema, including collaborations with directors of the French New Wave.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamás Darnyi Target entity description: Tamás Darnyi is a legendary Hungarian swimmer and four-time Olympic champion, best known for dominating the individual medley events in the late 1980s and early 1990s.
-
A.
Zoltán Várkonyi
Zoltán Várkonyi was a prominent Hungarian actor and film director, known for his influential work in mid-20th-century Hungarian cinema.
-
B.
Zoltán Fábri
Zoltán Fábri was a prominent 20th-century Hungarian film director known for his humanist, psychologically rich dramas and influential contributions to postwar Hungarian cinema.
-
C.
Miklós László
Miklós László was a Hungarian-born playwright best known for writing the stage play that inspired the classic film "The Shop Around the Corner."
-
D.
László Kürti
László Kürti is a Hungarian-born organic chemist and professor known for his research in synthetic methodology and co-authoring the reference work "Molecules and Medicine."
-
E.
László Szabó
László Szabó is a Hungarian-born French actor and filmmaker known for his work in European art cinema, including collaborations with directors of the French New Wave.
- F. None of above. chosen
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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aefd9488190b8cdfa8543db8d31 |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.