Triple
T10894371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton |
E257267
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Cam Newton |
E201747
|
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: Cam Newton | Statement: [Newton, hasNotableBearer, Cam Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cam Newton Context triple: [Newton, hasNotableBearer, Cam Newton]
-
A.
Cam Newton
chosen
Cam Newton is an American football quarterback best known for his dynamic dual-threat play style, 2015 NFL MVP season, and leading the Carolina Panthers to a Super Bowl appearance.
-
B.
Eli Manning
Eli Manning is a former NFL quarterback best known for leading the New York Giants to two Super Bowl championships and earning two Super Bowl MVP awards.
-
C.
Baylen Robert Brees
Baylen Robert Brees is the son of former NFL star quarterback Drew Brees.
-
D.
Drew Brees
Drew Brees is a former NFL quarterback renowned for his prolific passing records and leadership, most notably guiding the New Orleans Saints to their first Super Bowl championship.
-
E.
Brittany Brees
Brittany Brees is an American philanthropist and the wife of former NFL quarterback Drew Brees, known for her extensive charitable work and community involvement.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d0153408190bcba2d9b03d78804 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15519e620819090e492861de6a567 |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:21 p.m.