Triple
T18226242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Toledo |
E436429
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bob Toledo |
—
|
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: Bob Toledo | Statement: [Bob Toledo, name, Bob Toledo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Toledo Context triple: [Bob Toledo, name, Bob Toledo]
-
A.
Bob Toledo
chosen
Bob Toledo is an American football coach best known for serving as the head coach of the UCLA Bruins in the late 1990s and early 2000s, leading them to multiple successful seasons.
-
B.
Don Nehlen
Don Nehlen is a former American college football coach best known for revitalizing the West Virginia University football program and leading it to national prominence.
-
C.
Pat Keady
Pat Keady is best known as the wife of longtime Purdue basketball coach and Hall of Famer Gene Keady.
-
D.
Sam Shakusky
Sam Shakusky is the earnest, eccentric young Boy Scout protagonist of Wes Anderson’s film "Moonrise Kingdom," known for his runaway romance and precocious independence.
-
E.
Grant Geissman
Grant Geissman is an American jazz and studio guitarist and composer known for his solo work and contributions to television and film scores.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4aff8748190be5e732f9dbc8dff |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:32 a.m.