Triple
T7483277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitchener Rangers |
E176814
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object | Bill Barber |
E68606
|
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: Bill Barber | Statement: [Kitchener Rangers, notableAlumni, Bill Barber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Barber Context triple: [Kitchener Rangers, notableAlumni, Bill Barber]
-
A.
Bill Barber
chosen
Bill Barber is a Hall of Fame left winger best known as a key offensive star of the Philadelphia Flyers' 1970s Stanley Cup–winning teams.
-
B.
Dave Barbour
Dave Barbour was an American jazz guitarist, composer, and arranger best known for his work with Benny Goodman and his musical collaborations with singer Peggy Lee.
-
C.
Matt O’Brien
Matt O’Brien is a music producer known for his work on Kid Rock’s breakthrough album "Devil Without a Cause."
-
D.
Chris Bauer
Chris Bauer is an American character actor known for his gritty, often hard-edged roles in film and television, including prominent parts in series like "The Wire," "True Blood," and "The Deuce."
-
E.
Roger Barton
Roger Barton is a film editor known for his work on major Hollywood blockbusters, including entries in the Star Wars and Transformers franchises.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53923e4819081bf79ed962a971c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83498965481909367681b63c5db63 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.