Triple
T10620418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Kasper |
E250181
|
entity |
| Predicate | draftedBy |
P2210
|
FINISHED |
| Object | Denver Broncos |
E29707
|
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: Denver Broncos | Statement: [Kevin Kasper, draftedBy, Denver Broncos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denver Broncos Context triple: [Kevin Kasper, draftedBy, Denver Broncos]
-
A.
Denver Broncos
chosen
The Denver Broncos are a professional American football franchise based in Denver, Colorado, competing in the National Football League and known for multiple Super Bowl appearances and championships.
-
B.
Broncos
Broncos is the commonly used short name for the Brisbane Broncos, a professional rugby league club based in Brisbane, Australia.
-
C.
Broncos
The Broncos are the intercollegiate athletic teams that represent Santa Clara University in NCAA sports.
-
D.
Broncos
The Broncos are the athletic teams representing Fayetteville State University in collegiate sports competitions.
-
E.
Broncos
The Broncos are the athletic teams representing Western Michigan University in NCAA sports competitions.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df6fc47c8190b77b61a7fd223d65 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988474cf0819087516026fd249640 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 8:46 p.m.