Triple
T20275960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seventh Room |
E503015
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | László Gálffi |
—
|
NE NERFINISHED |
How this triple was built (2 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 Gálffi | Statement: [The Seventh Room, castMember, László Gálffi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: László Gálffi Context triple: [The Seventh Room, castMember, László Gálffi]
-
A.
László Gálffi
chosen
László Gálffi is a Hungarian actor known for his work in film, television, and theatre.
-
B.
Károly Palotai
Károly Palotai was a Hungarian football referee and former player renowned for officiating major international matches, including World Cup games and European club finals.
-
C.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
D.
Árpád Tóth
Árpád Tóth was a Hungarian poet known for his lyrical, melancholic verse in the early 20th century.
-
E.
Gábor Demszky
Gábor Demszky is a Hungarian liberal politician best known for serving as the long-time mayor of Budapest after the fall of communism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 10:32 a.m.