Triple
T20275970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seventh Room |
E503015
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
László Sinkó
László Sinkó was a Hungarian actor known for his work in film, theater, and television, particularly in Hungarian and Central European cinema.
|
E1447905
|
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 Sinkó | Statement: [The Seventh Room, castMember, László Sinkó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: László Sinkó Context triple: [The Seventh Room, castMember, László Sinkó]
-
A.
László Takács
László Takács is a Hungarian mathematician known for his contributions to probability theory and queueing theory.
-
B.
László Baky
László Baky was a Hungarian politician and state secretary in the Interior Ministry who played a leading role in organizing the deportation of Hungarian Jews during the Holocaust.
-
C.
József Takács
József Takács is a Hungarian footballer known for his contributions to early 20th-century Hungarian club and national teams.
-
D.
László Baranyai
László Baranyai is a cinematographer known for his work on films such as the 1998 crime drama "The Interview."
-
E.
Csongor Takács
Csongor Takács is a Hungarian computer hacker and key protagonist in Neal Stephenson’s techno-thriller novel "Reamde."
- 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 Sinkó Triple: [The Seventh Room, castMember, László Sinkó]
Generated description
László Sinkó was a Hungarian actor known for his work in film, theater, and television, particularly in Hungarian and Central European cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: László Sinkó Target entity description: László Sinkó was a Hungarian actor known for his work in film, theater, and television, particularly in Hungarian and Central European cinema.
-
A.
László Takács
László Takács is a Hungarian mathematician known for his contributions to probability theory and queueing theory.
-
B.
László Baky
László Baky was a Hungarian politician and state secretary in the Interior Ministry who played a leading role in organizing the deportation of Hungarian Jews during the Holocaust.
-
C.
József Takács
József Takács is a Hungarian footballer known for his contributions to early 20th-century Hungarian club and national teams.
-
D.
László Baranyai
László Baranyai is a cinematographer known for his work on films such as the 1998 crime drama "The Interview."
-
E.
Csongor Takács
Csongor Takács is a Hungarian computer hacker and key protagonist in Neal Stephenson’s techno-thriller novel "Reamde."
- 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_6a08e8202e748190a043ac51dc8faa01 |
completed | May 16, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_6a08e88b1e1c8190a02a52e50470ce79 |
completed | May 16, 2026, 9:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e923a134819082e8d677c420f8ce |
completed | May 16, 2026, 10:01 p.m. |
Created at: April 16, 2026, 10:32 a.m.