Triple
T22208149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leó Weiner |
E548869
|
entity |
| Predicate | student |
P7251
|
FINISHED |
| Object |
László Somogyi
László Somogyi was a Hungarian conductor and music educator known for his interpretations of classical and romantic repertoire and his influence on 20th-century Hungarian musical life.
|
E1527574
|
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 Somogyi | Statement: [Leó Weiner, student, László Somogyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: László Somogyi Context triple: [Leó Weiner, student, László Somogyi]
-
A.
László Mensáros
László Mensáros was a prominent Hungarian actor known for his extensive work in theater, film, and television during the mid-20th century.
-
B.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
C.
László Takács
László Takács is a Hungarian mathematician known for his contributions to probability theory and queueing theory.
-
D.
Sándor Nagy
Sándor Nagy is a Hungarian personal name borne by several notable individuals across fields such as politics, sports, and the arts.
-
E.
László Csatay
László Csatay was a Hungarian military officer and politician who served as Hungary’s Minister of Defence during World War II.
- 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 Somogyi Triple: [Leó Weiner, student, László Somogyi]
Generated description
László Somogyi was a Hungarian conductor and music educator known for his interpretations of classical and romantic repertoire and his influence on 20th-century Hungarian musical life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: László Somogyi Target entity description: László Somogyi was a Hungarian conductor and music educator known for his interpretations of classical and romantic repertoire and his influence on 20th-century Hungarian musical life.
-
A.
László Mensáros
László Mensáros was a prominent Hungarian actor known for his extensive work in theater, film, and television during the mid-20th century.
-
B.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
C.
László Takács
László Takács is a Hungarian mathematician known for his contributions to probability theory and queueing theory.
-
D.
Sándor Nagy
Sándor Nagy is a Hungarian personal name borne by several notable individuals across fields such as politics, sports, and the arts.
-
E.
László Csatay
László Csatay was a Hungarian military officer and politician who served as Hungary’s Minister of Defence during World War II.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b29eb808190ab8abaa1e0e354fa |
completed | April 28, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab64da05881908d628dcd9824f20d |
completed | May 18, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_6a0ab7d591ac8190acee6e451f14f201 |
completed | May 18, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab83812a881908eba79be34491101 |
completed | May 18, 2026, 6:56 a.m. |
Created at: April 16, 2026, 8:36 p.m.