Triple
T9109964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Ferguson |
E218573
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bob Ferguson |
E218573
|
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: Bob Ferguson | Statement: [Bob Ferguson, name, Bob Ferguson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Ferguson Context triple: [Bob Ferguson, name, Bob Ferguson]
-
A.
Bob Ferguson
chosen
Bob Ferguson was an American country music record producer known for his influential work with major artists in the 1960s and 1970s.
-
B.
Ed Murray
Ed Murray is an American politician who served as the 53rd mayor of Seattle and previously spent many years in the Washington State Legislature.
-
C.
Mark Helfrich
Mark Helfrich is an American football coach best known for leading the University of Oregon Ducks, including a run to the first College Football Playoff National Championship game in the 2014 season.
-
D.
Mark Helfrich
Mark Helfrich is an American film editor best known for his work on action and comedy films, including collaborations with director Brett Ratner.
-
E.
Howard Cunningham
Howard Cunningham is the affable, old-fashioned Milwaukee hardware store owner and father figure on the classic American sitcom "Happy Days."
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca845d9b0819084230e7cdd92dee0 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047a447dc81908f9d1cb457955c7d |
completed | April 3, 2026, 11:05 p.m. |
Created at: March 30, 2026, 7:16 p.m.