Triple
T10609190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buzz Williams |
E275960
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Buzz Williams |
E275960
|
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: Buzz Williams | Statement: [Buzz Williams, name, Buzz Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buzz Williams Context triple: [Buzz Williams, name, Buzz Williams]
-
A.
Buzz Williams
chosen
Buzz Williams is an American college basketball coach known for his successful tenures at programs such as Marquette, Virginia Tech, and Texas A&M.
-
B.
Len Williams
Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
-
C.
Jeff Williams
Jeff Williams is an American technology executive who serves as Apple's Chief Operating Officer and a key leader in the development and launch of major Apple products.
-
D.
Buck Williams
Buck Williams is a former American professional basketball player and three-time NBA All-Star best known for his rebounding prowess and long career with the New Jersey Nets and Portland Trail Blazers.
-
E.
Mike Williams
Mike Williams is a Swedish computer scientist best known as one of the creators of the Erlang programming language.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4d0a6881909fea20378085173d |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ebe539881908aeff1cd65cf925f |
completed | April 10, 2026, 8:34 p.m. |
Created at: April 8, 2026, 7:32 p.m.