Triple
T16289316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonnie Ali |
E395475
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Yolanda Williams |
E291022
|
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: Yolanda Williams | Statement: [Lonnie Ali, birthName, Yolanda Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yolanda Williams Context triple: [Lonnie Ali, birthName, Yolanda Williams]
-
A.
Yolanda Williams
chosen
Yolanda Williams is best known as the wife of legendary American boxer Muhammad Ali.
-
B.
Genelle Williams
Genelle Williams is a Canadian actress best known for her role as Leena on the science fiction television series "Warehouse 13."
-
C.
Yvette Williams
Yvette Williams was a pioneering New Zealand long jumper and Olympic gold medallist who became one of the country’s most celebrated track and field athletes of the 1950s.
-
D.
Yolanda Laney
Yolanda Laney is a former standout American college basketball player best known for starring at Cheyney State and later becoming the mother of WNBA All-Star Betnijah Laney.
-
E.
Lorraine Williams
Lorraine Williams is known as the wife of Academy Award–winning film editor and producer Elmo Williams.
- 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_6a003c4ab62881909c311bdc44068dc4 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:05 a.m.