Triple
T18231157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrann Mathieu |
E436544
|
entity |
| Predicate | draftedBy |
P2210
|
FINISHED |
| Object | Arizona Cardinals |
—
|
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: Arizona Cardinals | Statement: [Tyrann Mathieu, draftedBy, Arizona Cardinals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arizona Cardinals Context triple: [Tyrann Mathieu, draftedBy, Arizona Cardinals]
-
A.
Arizona Cardinals
chosen
The Arizona Cardinals are a professional American football team based in the Phoenix metropolitan area that competes in the NFL’s NFC West division.
-
B.
Broncos
The Broncos are the athletic teams representing Rancho Bernardo High School in interscholastic sports competitions.
-
C.
Broncos
Broncos is the commonly used short name for the Brisbane Broncos, a professional rugby league club based in Brisbane, Australia.
-
D.
Broncos
The Broncos are the intercollegiate athletic teams that represent Santa Clara University in NCAA sports.
-
E.
Broncos
The Broncos are the athletic teams representing Boise State University, best known for their successful football program and iconic blue turf field.
- 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_69e4f4b3495881909f2a3f3a8db43792 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.