Triple
T19955228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungary at the Olympic Games |
E479663
|
entity |
| Predicate | notableAthlete |
P10392
|
FINISHED |
| Object | Aladár Gerevich |
—
|
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: Aladár Gerevich | Statement: [Hungary at the Olympic Games, notableAthlete, Aladár Gerevich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aladár Gerevich Context triple: [Hungary at the Olympic Games, notableAthlete, Aladár Gerevich]
-
A.
József Alvinczi
József Alvinczi was an Austrian Feldmarschall of Hungarian origin who served as one of the Habsburg Monarchy’s principal commanders against Revolutionary France in the Italian campaigns.
-
B.
Ferenc Szombathelyi
Ferenc Szombathelyi was a Hungarian military officer who served as Chief of the General Staff of the Royal Hungarian Army during World War II.
-
C.
Kálmán Giergl
Kálmán Giergl was a Hungarian architect of the late 19th and early 20th centuries, known for his prominent contributions to Budapest’s historic cityscape.
-
D.
István Werbőczy
István Werbőczy was a 16th-century Hungarian jurist and statesman best known for compiling the influential Tripartitum, a foundational codification of Hungarian customary law.
-
E.
István Gyergyay
István Gyergyay, better known as Steven Geray, was a Hungarian-American character actor who appeared in numerous Hollywood films from the 1930s through the 1960s.
- 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: Aladár Gerevich Target entity description: Aladár Gerevich was a legendary Hungarian fencer widely regarded as one of the greatest Olympians of all time, winning multiple gold medals across six consecutive Olympic Games.
-
A.
József Alvinczi
József Alvinczi was an Austrian Feldmarschall of Hungarian origin who served as one of the Habsburg Monarchy’s principal commanders against Revolutionary France in the Italian campaigns.
-
B.
Ferenc Szombathelyi
Ferenc Szombathelyi was a Hungarian military officer who served as Chief of the General Staff of the Royal Hungarian Army during World War II.
-
C.
Kálmán Giergl
Kálmán Giergl was a Hungarian architect of the late 19th and early 20th centuries, known for his prominent contributions to Budapest’s historic cityscape.
-
D.
István Werbőczy
István Werbőczy was a 16th-century Hungarian jurist and statesman best known for compiling the influential Tripartitum, a foundational codification of Hungarian customary law.
-
E.
István Gyergyay
István Gyergyay, better known as Steven Geray, was a Hungarian-American character actor who appeared in numerous Hollywood films from the 1930s through the 1960s.
- 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.