Triple
T16289315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonnie Ali |
E395475
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lonnie Ali |
E395475
|
NE 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: Lonnie Ali | Statement: [Lonnie Ali, name, Lonnie Ali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lonnie Ali Context triple: [Lonnie Ali, name, Lonnie Ali]
-
A.
Lonnie Ali
chosen
Lonnie Ali is an American philanthropist and businesswoman best known as the widow of boxing legend Muhammad Ali and a key figure in preserving and promoting his legacy through charitable and educational initiatives.
-
B.
Joseph Lovering
Joseph Lovering was a 19th-century American physicist and educator known for his long tenure as a Harvard professor and his contributions to the development of science education in the United States.
-
C.
Lonnie Lynn
Lonnie Lynn was an American jazz musician and poet best known as the father of rapper Common and for his spoken-word appearances on his son's albums.
-
D.
Marvin Ainley
Marvin Ainley is an individual notable enough to be recognized as a prominent bearer of the Ainley surname.
-
E.
Gordon Heath
Gordon Heath was an American actor, singer, and director known for his work on stage and in film, as well as for his influential career in Europe, particularly in France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e249175e24819082e571039e278056 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f94ede48190835e8a0c6f5d0f19 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.