Triple
T2669109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AAVE |
E55706
|
entity |
| Predicate | isOftenStigmatizedAs |
P14808
|
FINISHED |
| Object | incorrect English |
—
|
LITERAL FINISHED |
How this triple was built (2 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: incorrect English | Statement: [AAVE, isOftenStigmatizedAs, incorrect English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenStigmatizedAs Context triple: [AAVE, isOftenStigmatizedAs, incorrect English]
-
A.
isSociallyStigmatized
chosen
Indicates that an entity is viewed negatively or disapproved of by society or a social group, often leading to prejudice or discrimination.
-
B.
isFrequentlyDescribedAs
Indicates that something is often characterized or referred to using a particular description or set of attributes.
-
C.
discriminatedAgainst
Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
-
D.
commonlyMarkedBy
Indicates that one entity is typically characterized, identified, or distinguished by the presence of another entity or feature.
-
E.
isSometimesClassifiedAs
Indicates that an entity is occasionally, but not consistently or universally, categorized under a particular type or class.
- F. None of above.
Provenance (3 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98bacf48190b5633f1a3ec8f0cf |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.