Triple

T12366369
Position Surface form Disambiguated ID Type / Status
Subject Bebel Gilberto E294879 entity
Predicate nickname P55 FINISHED
Object Bebel
Bebel is the Brazilian-American singer and songwriter Bebel Gilberto, known for her modern bossa nova and electronic-influenced music.
 E977380 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: Bebel | Statement: [Bebel Gilberto, nickname, Bebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bebel
Context triple: [Bebel Gilberto, nickname, Bebel]
  • A. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • B. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • C. Bebe
    Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
  • D. Bebe
    Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
  • E. Bebe
    Bebe is the nickname of Bebe Neuwirth, the American actress, singer, and dancer best known for her Tony-winning Broadway roles and her portrayal of Lilith Sternin on the TV series "Cheers" and "Frasier."
  • 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: Bebel
Triple: [Bebel Gilberto, nickname, Bebel]
Generated description
Bebel is the Brazilian-American singer and songwriter Bebel Gilberto, known for her modern bossa nova and electronic-influenced music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bebel
Target entity description: Bebel is the Brazilian-American singer and songwriter Bebel Gilberto, known for her modern bossa nova and electronic-influenced music.
  • A. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • B. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • C. Bebe
    Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
  • D. Bebe
    Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
  • E. Bebe
    Bebe is the nickname of Bebe Neuwirth, the American actress, singer, and dancer best known for her Tony-winning Broadway roles and her portrayal of Lilith Sternin on the TV series "Cheers" and "Frasier."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa502988190ba170dee90d9f394 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abbaaec8190b388d9dff999da8d completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c57a26081908d6903906f6e04f0 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d07d3148190a45542c8d43a7077 completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:54 p.m.