Triple
T10323058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Kahn |
E242687
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
László Gálffi
László Gálffi is a Hungarian actor known for his work in film, television, and theatre.
|
E869589
|
NE FINISHED |
How this triple was built (4 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: László Gálffi | Statement: [Esther Kahn, hasCastMember, László Gálffi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: László Gálffi Context triple: [Esther Kahn, hasCastMember, László Gálffi]
-
A.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
B.
Vilmos Gábor
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
C.
Vilmos Huszár
Vilmos Huszár was a Hungarian-born Dutch painter and designer associated with the De Stijl movement, known for his abstract, geometric compositions and contributions to modernist art and design.
-
D.
Sándor Garbai
Sándor Garbai was a Hungarian socialist politician who briefly served as the nominal leader of the short-lived Hungarian Soviet Republic in 1919.
-
E.
Pál Maléter
Pál Maléter was a Hungarian military officer and defense minister who became a leading revolutionary commander during the 1956 uprising against Soviet control and was later executed for his role.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: László Gálffi Triple: [Esther Kahn, hasCastMember, László Gálffi]
Generated description
László Gálffi is a Hungarian actor known for his work in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: László Gálffi Target entity description: László Gálffi is a Hungarian actor known for his work in film, television, and theatre.
-
A.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
B.
Vilmos Gábor
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
C.
Vilmos Huszár
Vilmos Huszár was a Hungarian-born Dutch painter and designer associated with the De Stijl movement, known for his abstract, geometric compositions and contributions to modernist art and design.
-
D.
Sándor Garbai
Sándor Garbai was a Hungarian socialist politician who briefly served as the nominal leader of the short-lived Hungarian Soviet Republic in 1919.
-
E.
Pál Maléter
Pál Maléter was a Hungarian military officer and defense minister who became a leading revolutionary commander during the 1956 uprising against Soviet control and was later executed for his role.
- F. None of above. chosen
Provenance (5 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cdb6cc8190b37ca4494287128b |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d76fd88819086c61c40216a8932 |
completed | April 10, 2026, 2:47 p.m. |
| NEDg | Description generation | batch_69d91156a1b08190b5caeff755387692 |
completed | April 10, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d91214c75c8190af55173325a0f409 |
completed | April 10, 2026, 3:07 p.m. |
Created at: April 6, 2026, 11:50 a.m.