Triple
T10265248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallace Fard Muhammad |
E240695
|
entity |
| Predicate | taughtCommunity |
P87335
|
FINISHED |
| Object | African Americans in Detroit |
—
|
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: African Americans in Detroit | Statement: [Wallace Fard Muhammad, taughtCommunity, African Americans in Detroit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taughtCommunity Context triple: [Wallace Fard Muhammad, taughtCommunity, African Americans in Detroit]
-
A.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
B.
taughtThrough
Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
-
C.
socialTeaching
chosen
Indicates the act of conveying, promoting, or instructing others in social values, norms, or principles.
-
D.
teachableFrom
Indicates that one entity can be taught or learned from another entity, capturing a directional teachability or learnability relationship between them.
-
E.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:33 a.m.