Triple
T23411194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beanie (Mack Bitch) |
E560070
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
Beanie (Mack Bitch)
"Beanie (Mack Bitch)" is a hip-hop track by rapper Beanie Sigel, known for its gritty lyrics and street-oriented themes.
|
E1585678
|
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: Beanie (Mack Bitch) | Statement: [Beanie (Mack Bitch), hasTitle, Beanie (Mack Bitch)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beanie (Mack Bitch) Context triple: [Beanie (Mack Bitch), hasTitle, Beanie (Mack Bitch)]
-
A.
Beanie
Beanie is the widely used nickname of American actress and singer Beanie Feldstein, known for her roles in films like "Booksmart" and "Lady Bird."
-
B.
Beanie
Beanie is a character from the comedy film "Old School," known as one of the middle-aged men who start an off-campus fraternity.
-
C.
Bebe
Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
-
D.
Bebe
Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
-
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: Beanie (Mack Bitch) Triple: [Beanie (Mack Bitch), hasTitle, Beanie (Mack Bitch)]
Generated description
"Beanie (Mack Bitch)" is a hip-hop track by rapper Beanie Sigel, known for its gritty lyrics and street-oriented themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beanie (Mack Bitch) Target entity description: "Beanie (Mack Bitch)" is a hip-hop track by rapper Beanie Sigel, known for its gritty lyrics and street-oriented themes.
-
A.
Beanie
Beanie is the widely used nickname of American actress and singer Beanie Feldstein, known for her roles in films like "Booksmart" and "Lady Bird."
-
B.
Beanie
Beanie is a character from the comedy film "Old School," known as one of the middle-aged men who start an off-campus fraternity.
-
C.
Bebe
"Bebe" is a 2018 reggaeton and Latin trap single by 6ix9ine featuring Puerto Rican rapper Anuel AA.
-
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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a51183bc8190bd4860607b26b4b2 |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c679b72888190b9c25ca700f60098 |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c72156130819082e1d07262e144ca |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76bcf3f08190ae28b928b18cd007 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:38 p.m.