Triple

T9178596
Position Surface form Disambiguated ID Type / Status
Subject choro E220262 entity
Predicate notableComposer P4321 FINISHED
Object Pixinguinha
Pixinguinha was a pioneering Brazilian composer, arranger, and flutist who helped define and popularize the choro genre in the early 20th century.
 E782178 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: Pixinguinha | Statement: [choro, notableComposer, Pixinguinha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pixinguinha
Context triple: [choro, notableComposer, Pixinguinha]
  • A. Pinky
    Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
  • B. Pippy
    Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
  • C. Kiko
    Kiko is the Crown Princess of Japan and the wife of Crown Prince Akishino, a prominent member of the Japanese imperial family.
  • D. Kiko
    Kiko is a critically acclaimed 1992 studio album by the American rock band Los Lobos, noted for its experimental sound and rich, atmospheric production.
  • E. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • 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: Pixinguinha
Triple: [choro, notableComposer, Pixinguinha]
Generated description
Pixinguinha was a pioneering Brazilian composer, arranger, and flutist who helped define and popularize the choro genre in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pixinguinha
Target entity description: Pixinguinha was a pioneering Brazilian composer, arranger, and flutist who helped define and popularize the choro genre in the early 20th century.
  • A. Pinky
    Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
  • B. Pippy
    Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
  • C. Kiko
    Kiko is the Crown Princess of Japan and the wife of Crown Prince Akishino, a prominent member of the Japanese imperial family.
  • D. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • E. Kiko
    Kiko is a critically acclaimed 1992 studio album by the American rock band Los Lobos, noted for its experimental sound and rich, atmospheric production.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc24eeb988190af82dfba49aac2f8 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054ae9a708190b26c2f2c7ebb59c9 completed April 4, 2026, midnight
NEDg Description generation batch_69d05571243c8190bd7fcc6e675b3500 completed April 4, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_69d0564391cc81909c0cea2d49c38fb4 completed April 4, 2026, 12:07 a.m.
Created at: March 30, 2026, 7:23 p.m.