Triple
T20275952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seventh Room |
E503015
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Péter Andorai
Péter Andorai was a Hungarian film and stage actor known for his prominent roles in Central European cinema from the late 20th century onward.
|
E1427923
|
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: Péter Andorai | Statement: [The Seventh Room, castMember, Péter Andorai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Péter Andorai Context triple: [The Seventh Room, castMember, Péter Andorai]
-
A.
Bruno Pésery
Bruno Pésery is a French film producer known for his work on notable art-house and auteur-driven films.
-
B.
Andras Hamori
Andras Hamori is a film producer known for his work on various international and independent movies.
-
C.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
D.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
E.
Miklós Németh
Miklós Németh is a Hungarian economist and politician who served as the last communist-era Prime Minister of Hungary and played a key role in the country's transition to democracy around 1989–1990.
- 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: Péter Andorai Triple: [The Seventh Room, castMember, Péter Andorai]
Generated description
Péter Andorai was a Hungarian film and stage actor known for his prominent roles in Central European cinema from the late 20th century onward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Péter Andorai Target entity description: Péter Andorai was a Hungarian film and stage actor known for his prominent roles in Central European cinema from the late 20th century onward.
-
A.
Bruno Pésery
Bruno Pésery is a French film producer known for his work on notable art-house and auteur-driven films.
-
B.
Andras Hamori
Andras Hamori is a film producer known for his work on various international and independent movies.
-
C.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
D.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
E.
Miklós Németh
Miklós Németh is a Hungarian economist and politician who served as the last communist-era Prime Minister of Hungary and played a key role in the country's transition to democracy around 1989–1990.
- 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_6a087604669c81909a99c725fad640d5 |
completed | May 16, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a0876f82dac8190a6c25fc0574a842a |
completed | May 16, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877ac99408190a31ee21894770334 |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 16, 2026, 10:32 a.m.