Triple

T7724665
Position Surface form Disambiguated ID Type / Status
Subject Cristina Pato E175098 entity
Predicate notableWork P4 FINISHED
Object Migrations
Migrations is a genre-blending musical project by Galician bagpiper and pianist Cristina Pato that explores themes of cultural movement and identity through innovative arrangements and collaborations.
 E684490 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: Migrations | Statement: [Cristina Pato, notableWork, Migrations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Migrations
Context triple: [Cristina Pato, notableWork, Migrations]
  • A. Mdb
    Mdb is the official station code used to identify Middelburg railway station in the Netherlands’ rail network.
  • B. DB
    DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
  • C. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • D. Flask-Migrate
    Flask-Migrate is a Flask extension that integrates Alembic-based database schema migrations into Flask applications.
  • E. DBArtisan
    DBArtisan is a commercial database administration tool that provides cross-platform management, performance tuning, and development capabilities for various relational database systems.
  • 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: Migrations
Triple: [Cristina Pato, notableWork, Migrations]
Generated description
Migrations is a genre-blending musical project by Galician bagpiper and pianist Cristina Pato that explores themes of cultural movement and identity through innovative arrangements and collaborations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Migrations
Target entity description: Migrations is a genre-blending musical project by Galician bagpiper and pianist Cristina Pato that explores themes of cultural movement and identity through innovative arrangements and collaborations.
  • A. Mdb
    Mdb is the official station code used to identify Middelburg railway station in the Netherlands’ rail network.
  • B. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • C. DB
    DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
  • D. Flask-Migrate
    Flask-Migrate is a Flask extension that integrates Alembic-based database schema migrations into Flask applications.
  • E. DBArtisan
    DBArtisan is a commercial database administration tool that provides cross-platform management, performance tuning, and development capabilities for various relational database systems.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031279708190a3a5fb64f9206974 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51faa348190b4fa0b5a307c83db completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b74ee6d081908454b2d4774a3a7b completed March 29, 2026, 5:23 a.m.
NED2 Entity disambiguation (via description) batch_69c8b7af4c58819097360e89e7ea6062 completed March 29, 2026, 5:25 a.m.
Created at: March 27, 2026, 4:05 p.m.