Triple

T9858670
Position Surface form Disambiguated ID Type / Status
Subject Blue II E239650 entity
Predicate title P38 FINISHED
Object Bleu II
Bleu II is an artwork best known as a later piece in Joan Miró’s abstract “Bleu” series, characterized by its minimalist composition and vivid use of blue.
 E825744 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: Bleu II | Statement: [Blue II, title, Bleu II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bleu II
Context triple: [Blue II, title, Bleu II]
  • A. Bleu noir
    Bleu noir is a 2010 studio album by French singer-songwriter Mylène Farmer that blends pop, electronic, and dark atmospheric influences.
  • B. Nu bleu
    Nu bleu is a famous series of blue-hued nude cut-out artworks by Henri Matisse, emblematic of his late-career paper cut-out technique.
  • C. Fil Bleu
    Fil Bleu is the public transport operator responsible for running bus and tram services in and around the city of Tours, France.
  • D. Les Rouge-et-Bleu
    Les Rouge-et-Bleu is a popular nickname for Paris Saint-Germain Football Club, highlighting the team's traditional red and blue colors.
  • E. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • 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: Bleu II
Triple: [Blue II, title, Bleu II]
Generated description
Bleu II is an artwork best known as a later piece in Joan Miró’s abstract “Bleu” series, characterized by its minimalist composition and vivid use of blue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bleu II
Target entity description: Bleu II is an artwork best known as a later piece in Joan Miró’s abstract “Bleu” series, characterized by its minimalist composition and vivid use of blue.
  • A. Bleu noir
    Bleu noir is a 2010 studio album by French singer-songwriter Mylène Farmer that blends pop, electronic, and dark atmospheric influences.
  • B. Nu bleu
    Nu bleu is a famous series of blue-hued nude cut-out artworks by Henri Matisse, emblematic of his late-career paper cut-out technique.
  • C. Fil Bleu
    Fil Bleu is the public transport operator responsible for running bus and tram services in and around the city of Tours, France.
  • D. Les Rouge-et-Bleu
    Les Rouge-et-Bleu is a popular nickname for Paris Saint-Germain Football Club, highlighting the team's traditional red and blue colors.
  • E. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb399bd8081908281d1735cc3909f completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e43b2de881909e00f6701d1c7b54 completed April 5, 2026, 4:25 a.m.
NEDg Description generation batch_69d1e5204f748190b1f56ee5469828a2 completed April 5, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69d1e598243481909278cb3c911ce3db completed April 5, 2026, 4:31 a.m.
Created at: March 30, 2026, 8:35 p.m.