Triple
T440972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African American Vernacular English |
E10112
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
AAVE
AAVE is a distinct, rule-governed variety of English historically spoken by African Americans, characterized by unique grammatical, phonological, and lexical features.
|
E55706
|
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: AAVE | Statement: [African American Vernacular English, alsoKnownAs, AAVE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AAVE Context triple: [African American Vernacular English, alsoKnownAs, AAVE]
-
A.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
B.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
C.
AVA
AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
-
D.
AAE
AAE is the abbreviation commonly used for the French Air and Space Force, the aerial warfare branch of France’s armed forces.
-
E.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
- 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: AAVE Triple: [African American Vernacular English, alsoKnownAs, AAVE]
Generated description
AAVE is a distinct, rule-governed variety of English historically spoken by African Americans, characterized by unique grammatical, phonological, and lexical features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AAVE Target entity description: AAVE is a distinct, rule-governed variety of English historically spoken by African Americans, characterized by unique grammatical, phonological, and lexical features.
-
A.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
B.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
C.
AVA
AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
-
D.
AAE
AAE is the abbreviation commonly used for the French Air and Space Force, the aerial warfare branch of France’s armed forces.
-
E.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2af84881909635ebbbb3465b1b |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43e71ec4c8190ac1b80c01e0e83ad |
completed | March 1, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69a43f2a7c848190b54aa6eb8e67ddaf |
completed | March 1, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a43fcb0da4819088f4d491592e2a5a |
completed | March 1, 2026, 1:31 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.