Triple
T19634435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Katt |
E471352
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Bill 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: Bill Williams | Statement: [William Katt, notableRelative, Bill Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Williams Context triple: [William Katt, notableRelative, Bill Williams]
-
A.
Bill Williams
chosen
Bill Williams was an American film and television actor active in the mid-20th century, known for his roles in Westerns and adventure dramas.
-
B.
Pat Williams
Pat Williams is an American sports executive and author best known for co-founding and building the NBA’s Orlando Magic franchise.
-
C.
Rich Williams
Rich Williams is an American rock guitarist best known as a longtime member and lead guitarist of the band Kansas.
-
D.
Larry Williams
Larry Williams was an American rhythm and blues and rock and roll singer, songwriter, and pianist best known for 1950s hits like "Bony Moronie" and "Short Fat Fannie."
-
E.
Larry Williams
Larry Williams was the husband of pioneering African American actress and Academy Award winner Hattie McDaniel.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64104ff2881908fec49b7fba5a2e6 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.