Triple

T17742099
Position Surface form Disambiguated ID Type / Status
Subject FC Basel E442885 entity
Predicate nickname P55 FINISHED
Object Bebbi
Bebbi is a popular nickname for FC Basel, one of Switzerland’s most successful and passionately supported football clubs.
E1285364 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: Bebbi | Statement: [FC Basel, nickname, Bebbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bebbi
Context triple: [FC Basel, nickname, Bebbi]
  • A. Bebe
    Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
  • B. 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."
  • C. Bebe
    Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
  • D. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • E. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • 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: Bebbi
Triple: [FC Basel, nickname, Bebbi]
Generated description
Bebbi is a popular nickname for FC Basel, one of Switzerland’s most successful and passionately supported football clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bebbi
Target entity description: Bebbi is a popular nickname for FC Basel, one of Switzerland’s most successful and passionately supported football clubs.
  • A. Bebe
    Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
  • B. 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."
  • C. Bebe
    Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
  • D. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • E. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acd780c8190b1308ef0aca00f5c completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242fd4a008190b199a7a557ee24a4 completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a02451d83548190a7bb509f28a0d953 completed May 11, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a024574a9248190bc59aec3471cc999 completed May 11, 2026, 9:09 p.m.
Created at: April 10, 2026, 10:09 a.m.