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.