Triple
T1843929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | László Moholy-Nagy |
E41240
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
László
László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
|
E226387
|
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 | Statement: [László Moholy-Nagy, givenName, László]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: László Context triple: [László Moholy-Nagy, givenName, László]
-
A.
István
István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
-
B.
Gábor
Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
-
C.
Kálmán
Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
-
D.
János Gálicz
János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
-
E.
Pál Kadosa
Pál Kadosa was a Hungarian pianist, composer, and influential music educator known for his contributions to 20th-century Hungarian classical music.
- 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 Triple: [László Moholy-Nagy, givenName, László]
Generated description
László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: László Target entity description: László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
-
A.
István
István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
-
B.
Gábor
Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
-
C.
Kálmán
Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
-
D.
János Gálicz
János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
-
E.
Pál Kadosa
Pál Kadosa was a Hungarian pianist, composer, and influential music educator known for his contributions to 20th-century Hungarian classical music.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb04eb0748190b226f932e544925f |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0abb346081908df2c8390e4938d5 |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0b49abfc81908876ea54c7b7dcc2 |
completed | March 8, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0d1bb5c881908c27bdd359e78773 |
completed | March 8, 2026, 11:58 p.m. |
Created at: March 4, 2026, 7:33 p.m.