Triple
T7341484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary “Bebe” Hunt Kemper |
E169259
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Bebe
Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
|
E656488
|
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: [Mary “Bebe” Hunt Kemper, hasNickname, Bebe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bebe Context triple: [Mary “Bebe” Hunt Kemper, hasNickname, Bebe]
-
A.
Bebe
Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
-
B.
Beba
Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
-
C.
Bea
Bea is a common diminutive form of the given name Beatrice, often used as a familiar or affectionate nickname.
-
D.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
E.
BEBE
BEBE is a song by American rapper 6ix9ine featuring Puerto Rican rapper Anuel AA, known for its Spanish-language reggaeton and trap fusion.
- 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: [Mary “Bebe” Hunt Kemper, hasNickname, Bebe]
Generated description
Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bebe Target entity description: Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
-
A.
Bebe
Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
-
B.
Beba
Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
-
C.
Bea
Bea is a common diminutive form of the given name Beatrice, often used as a familiar or affectionate nickname.
-
D.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
E.
BEBE
BEBE is a song by American rapper 6ix9ine featuring Puerto Rican rapper Anuel AA, known for its Spanish-language reggaeton and trap fusion.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0da176081909a40552c6f22087c |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef294f608190ae2ccd45a1ca213a |
completed | March 28, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69c7eff7c7508190aa992d3c9c2a5771 |
completed | March 28, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f0485bd88190ae13fe4f3fe7bb00 |
completed | March 28, 2026, 3:14 p.m. |
Created at: March 27, 2026, 3:04 p.m.