Triple
T15273280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merzbow |
E365071
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Balázs Pándi
Balázs Pándi is a Hungarian drummer known for his work in experimental, noise, and extreme music, including frequent collaborations with Japanese noise artist Merzbow.
|
E1170033
|
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: Balázs Pándi | Statement: [Merzbow, associatedAct, Balázs Pándi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balázs Pándi Context triple: [Merzbow, associatedAct, Balázs Pándi]
-
A.
Péter Bacsó
Péter Bacsó was a prominent Hungarian film director and screenwriter best known internationally for his satirical film "The Witness," a classic of Eastern European cinema.
-
B.
Péter Takács
Péter Takács is a Hungarian politician who has served as a member of the National Assembly of Hungary.
-
C.
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.
-
D.
Károly Szita
Károly Szita is a Hungarian politician who has long served as the mayor of the city of Kaposvár.
-
E.
László Baranyai
László Baranyai is a cinematographer known for his work on films such as the 1998 crime drama "The Interview."
- 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: Balázs Pándi Triple: [Merzbow, associatedAct, Balázs Pándi]
Generated description
Balázs Pándi is a Hungarian drummer known for his work in experimental, noise, and extreme music, including frequent collaborations with Japanese noise artist Merzbow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balázs Pándi Target entity description: Balázs Pándi is a Hungarian drummer known for his work in experimental, noise, and extreme music, including frequent collaborations with Japanese noise artist Merzbow.
-
A.
Péter Bacsó
Péter Bacsó was a prominent Hungarian film director and screenwriter best known internationally for his satirical film "The Witness," a classic of Eastern European cinema.
-
B.
Péter Takács
Péter Takács is a Hungarian politician who has served as a member of the National Assembly of Hungary.
-
C.
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.
-
D.
Károly Szita
Károly Szita is a Hungarian politician who has long served as the mayor of the city of Kaposvár.
-
E.
László Baranyai
László Baranyai is a cinematographer known for his work on films such as the 1998 crime drama "The Interview."
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00950a9988190b67dfbc73b8bdbbc |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677d34748190b5f723b5fd18b3a0 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6856260c8190b82b40c484f87211 |
completed | May 9, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff68e8e2c08190b460e23fe24f05e9 |
completed | May 9, 2026, 5:03 p.m. |
Created at: April 10, 2026, 3:14 a.m.