Triple
T23410813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Equan Grant |
E560061
|
entity |
| Predicate | notableNickname |
P25214
|
FINISHED |
| Object |
Beans
Beans is the stage name of Dwight Equan Grant, an American rapper and actor best known as a member of the hip hop group M.O.P.
|
E1585326
|
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: Beans | Statement: [Dwight Equan Grant, notableNickname, Beans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beans Context triple: [Dwight Equan Grant, notableNickname, Beans]
-
A.
Beans
Beans is a tough, resourceful desert iguana and the main female lead in the animated film "Rango."
-
B.
Pea
"Pea" is an acoustic, introspective song by the Red Hot Chili Peppers from their 1995 album *One Hot Minute*, noted for its minimalist arrangement and vulnerable lyrics.
-
C.
Mangiafagioli
Mangiafagioli is an Italian Renaissance painting by Annibale Carracci depicting a common man eating a simple meal of beans, celebrated for its naturalistic detail and genre subject matter.
-
D.
Red Beans
"Red Beans" is a celebrated poetry collection by Puerto Rican poet Victor Hernández Cruz that blends Caribbean culture, bilingual wordplay, and surreal imagery.
-
E.
Soja
Soja is a small city in western Japan’s Okayama Prefecture known for its historic sites and rural landscapes.
- 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: Beans Triple: [Dwight Equan Grant, notableNickname, Beans]
Generated description
Beans is the stage name of Dwight Equan Grant, an American rapper and actor best known as a member of the hip hop group M.O.P.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beans Target entity description: Beans is the stage name of Dwight Equan Grant, an American rapper and actor best known as a member of the hip hop group M.O.P.
-
A.
Beans
Beans is a tough, resourceful desert iguana and the main female lead in the animated film "Rango."
-
B.
Pea
"Pea" is an acoustic, introspective song by the Red Hot Chili Peppers from their 1995 album *One Hot Minute*, noted for its minimalist arrangement and vulnerable lyrics.
-
C.
Mangiafagioli
Mangiafagioli is an Italian Renaissance painting by Annibale Carracci depicting a common man eating a simple meal of beans, celebrated for its naturalistic detail and genre subject matter.
-
D.
Red Beans
"Red Beans" is a celebrated poetry collection by Puerto Rican poet Victor Hernández Cruz that blends Caribbean culture, bilingual wordplay, and surreal imagery.
-
E.
Soja
Soja is a small city in western Japan’s Okayama Prefecture known for its historic sites and rural landscapes.
- 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_6a0c679958f4819087da6c499161219a |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c7213e19881909151fe5c0560e096 |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76c54ba08190be8f46bacb22b6a3 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:38 p.m.