Triple
T17496265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James 67X Shabazz |
E426068
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | James 67X Shabazz |
—
|
NE NERFINISHED |
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: James 67X Shabazz | Statement: [James 67X Shabazz, name, James 67X Shabazz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James 67X Shabazz Context triple: [James 67X Shabazz, name, James 67X Shabazz]
-
A.
James 67X Shabazz
chosen
James 67X Shabazz was a prominent African-American Muslim leader and close associate of Malcolm X who played a key role in the early development of his religious and community initiatives.
-
B.
Jameer
Jameer is a masculine given name most notably associated with former NBA All-Star point guard Jameer Nelson.
-
C.
Jamal Jones
Jamal Jones is a songwriter and producer best known for his work on the hit hip-hop track "A Milli."
-
D.
Jamal Jones
Jamal Jones is a writer associated with the publication Glamorous, known for contributing written work to its content.
-
E.
Amir Wilson
Amir Wilson is a British actor best known for his role as Will Parry in the television adaptation of Philip Pullman’s "His Dark Materials."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520e9c8c8190aa955766bc915d26 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.