Triple

T15307078
Position Surface form Disambiguated ID Type / Status
Subject L’Oiseau bleu E365929 entity
Predicate hasCharacter P2308 FINISHED
Object Bread
Bread is a character from the Japanese picture book series "L’Oiseau bleu," likely depicted with traits that support the story’s whimsical, fairy-tale atmosphere.
 E1149522 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: Bread | Statement: [L’Oiseau bleu, hasCharacter, Bread]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bread
Context triple: [L’Oiseau bleu, hasCharacter, Bread]
  • A. Bread
    "Bread" is a historical novel by Russian writer Alexei Tolstoy that depicts the tumultuous events of the Russian Civil War and the early Soviet period.
  • B. Bread
    Bread was a popular American soft rock band of the 1970s known for mellow, melodic hits like "Make It with You" and "Everything I Own."
  • C. Brot-Dessous
    Brot-Dessous is a small former municipality in the canton of Neuchâtel in western Switzerland, situated along the Areuse River in the Jura region.
  • D. Bagel
    A bagel is a dense, ring-shaped bread roll with a chewy interior and glossy crust, traditionally boiled then baked and often topped with seeds.
  • E. Biscot
    Biscot is a residential district in the town of Luton, Bedfordshire, England.
  • 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: Bread
Triple: [L’Oiseau bleu, hasCharacter, Bread]
Generated description
Bread is a character from the Japanese picture book series "L’Oiseau bleu," likely depicted with traits that support the story’s whimsical, fairy-tale atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bread
Target entity description: Bread is a character from the Japanese picture book series "L’Oiseau bleu," likely depicted with traits that support the story’s whimsical, fairy-tale atmosphere.
  • A. Bread
    "Bread" is a historical novel by Russian writer Alexei Tolstoy that depicts the tumultuous events of the Russian Civil War and the early Soviet period.
  • B. Bread
    Bread was a popular American soft rock band of the 1970s known for mellow, melodic hits like "Make It with You" and "Everything I Own."
  • C. Brot-Dessous
    Brot-Dessous is a small former municipality in the canton of Neuchâtel in western Switzerland, situated along the Areuse River in the Jura region.
  • D. Bagel
    A bagel is a dense, ring-shaped bread roll with a chewy interior and glossy crust, traditionally boiled then baked and often topped with seeds.
  • E. Biscot
    Biscot is a residential district in the town of Luton, Bedfordshire, England.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd001b48190bbdd69337efdb907 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89feda88190b18f6a03d6e968aa completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa13e8508190930a22439b7f154a completed May 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69fefa80be14819089e87e7bdb3af7ec completed May 9, 2026, 9:12 a.m.
Created at: April 10, 2026, 3:16 a.m.