Triple
T20275968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seventh Room |
E503015
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
László Gados
László Gados is a Hungarian actor known for his role in the film "The Seventh Room."
|
E1445199
|
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 Gados | Statement: [The Seventh Room, castMember, László Gados]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: László Gados Context triple: [The Seventh Room, castMember, László Gados]
-
A.
László Bárdossy
László Bárdossy was a Hungarian politician who served as prime minister during World War II and played a key role in aligning Hungary with Nazi Germany.
-
B.
Vilmos Gábor
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
C.
Gyula Pados
Gyula Pados is a Hungarian cinematographer known for his visually dynamic work on international films such as "Million Dollar Arm," "Predators," and "Maze Runner: The Scorch Trials."
-
D.
Gyula Jankovits
Gyula Jankovits was a Hungarian sculptor best known for creating prominent public monuments in Budapest, including the Gellért Monument.
-
E.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
- 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 Gados Triple: [The Seventh Room, castMember, László Gados]
Generated description
László Gados is a Hungarian actor known for his role in the film "The Seventh Room."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: László Gados Target entity description: László Gados is a Hungarian actor known for his role in the film "The Seventh Room."
-
A.
László Bárdossy
László Bárdossy was a Hungarian politician who served as prime minister during World War II and played a key role in aligning Hungary with Nazi Germany.
-
B.
Vilmos Gábor
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
C.
Gyula Pados
Gyula Pados is a Hungarian cinematographer known for his visually dynamic work on international films such as "Million Dollar Arm," "Predators," and "Maze Runner: The Scorch Trials."
-
D.
Gyula Jankovits
Gyula Jankovits was a Hungarian sculptor best known for creating prominent public monuments in Budapest, including the Gellért Monument.
-
E.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e3df68819096fb859bc92a0da1 |
completed | April 20, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7c821a08190bacd148d57c9be93 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d8aa839c81908be2c3e5c8f54ef5 |
completed | May 16, 2026, 8:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d9784a08819080de2a65fc129e94 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 10:32 a.m.