Triple
T19662439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Christopher Williams |
E472114
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Len Williams |
—
|
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: Len Williams | Statement: [John Christopher Williams, relative, Len Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Len Williams Context triple: [John Christopher Williams, relative, Len Williams]
-
A.
Len Williams
chosen
Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
-
B.
Keith Williams
Keith Williams is a professional comic book artist and colorist known for his work on various titles, including contributions to The Mask series.
-
C.
Patrick Williams
Patrick Williams was an American composer, arranger, and conductor renowned for his work in film, television, and jazz.
-
D.
Patrick Williams
Patrick Williams is an American professional basketball player and former Florida State standout known for his versatile forward play and defensive potential in the NBA.
-
E.
Buzz Williams
Buzz Williams is an American college basketball coach known for his successful tenures at programs such as Marquette, Virginia Tech, and Texas A&M.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414b30fc81908e6594ba8f2d2942 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.