Triple

T11228638
Position Surface form Disambiguated ID Type / Status
Subject Bebe Neuwirth E265761 entity
Predicate nickname P55 FINISHED
Object 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."
E912547 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: Bebe | Statement: [Bebe Neuwirth, nickname, Bebe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bebe
Context triple: [Bebe Neuwirth, nickname, Bebe]
  • 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 Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
  • C. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • D. Bea
    Bea is a common diminutive form of the given name Beatrice, often used as a familiar or affectionate nickname.
  • 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: Bebe
Triple: [Bebe Neuwirth, nickname, Bebe]
Generated description
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."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bebe
Target entity description: 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."
  • 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 Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
  • C. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • D. Bea
    Bea is a common diminutive form of the given name Beatrice, often used as a familiar or affectionate nickname.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e900fbcc8190a3177f8a73564433 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad3eef408190937949e7b3bf0163 completed April 19, 2026, 10:23 a.m.
NEDg Description generation batch_69e4b12c04e48190ad7546d556a5109f completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b2949c7c8190820b7f1f87e00602 completed April 19, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:30 p.m.