Triple

T12234131
Position Surface form Disambiguated ID Type / Status
Subject Hardline E291548 entity
Predicate hasMember P10 FINISHED
Object Mario Percudani
Mario Percudani is an Italian musician best known as a guitarist and songwriter for the hard rock band Hardline.
E971929 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: Mario Percudani | Statement: [Hardline, hasMember, Mario Percudani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Percudani
Context triple: [Hardline, hasMember, Mario Percudani]
  • A. Mario Iscovich
    Mario Iscovich is a film producer best known for his work on popular Hollywood movies such as "The Princess Diaries."
  • B. Giovanni Czermanik
    Giovanni Czermanik was the birth name of János Kádár, the long-serving communist leader of Hungary during much of the Cold War.
  • C. Giovanni Czermanik
    Giovanni Czermanik is an individual whose early-life records and references consistently use the same personal name, indicating no known change of name over time.
  • D. Roman Podhora
    Roman Podhora is a Canadian actor known for his work in film and television, including roles in genre and action projects.
  • E. Dionys Mascolo
    Dionys Mascolo was a French writer, editor, and political intellectual known for his involvement in leftist movements and his long relationship with author Marguerite Duras.
  • 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: Mario Percudani
Triple: [Hardline, hasMember, Mario Percudani]
Generated description
Mario Percudani is an Italian musician best known as a guitarist and songwriter for the hard rock band Hardline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mario Percudani
Target entity description: Mario Percudani is an Italian musician best known as a guitarist and songwriter for the hard rock band Hardline.
  • A. Mario Iscovich
    Mario Iscovich is a film producer best known for his work on popular Hollywood movies such as "The Princess Diaries."
  • B. Giovanni Czermanik
    Giovanni Czermanik was the birth name of János Kádár, the long-serving communist leader of Hungary during much of the Cold War.
  • C. Giovanni Czermanik
    Giovanni Czermanik is an individual whose early-life records and references consistently use the same personal name, indicating no known change of name over time.
  • D. Roman Podhora
    Roman Podhora is a Canadian actor known for his work in film and television, including roles in genre and action projects.
  • E. Dionys Mascolo
    Dionys Mascolo was a French writer, editor, and political intellectual known for his involvement in leftist movements and his long relationship with author Marguerite Duras.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca5a06481908c7c6b715b9f6713 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.