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.