Triple
T18231141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrann Mathieu |
E436544
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Tyrann Devine Mathieu |
—
|
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: Tyrann Devine Mathieu | Statement: [Tyrann Mathieu, fullName, Tyrann Devine Mathieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyrann Devine Mathieu Context triple: [Tyrann Mathieu, fullName, Tyrann Devine Mathieu]
-
A.
Tyrann Mathieu
chosen
Tyrann Mathieu is an American football safety and return specialist, nicknamed the "Honey Badger," known for his playmaking ability, versatility, and impact on defenses in both college and the NFL.
-
B.
Nic Mathieu
Nic Mathieu is a film director best known for helming the science fiction action movie "Spectral."
-
C.
Jack Etienne
Jack Etienne is an American esports entrepreneur best known as the co-founder and CEO of the professional gaming organization Cloud9.
-
D.
Tyrell Martin
Tyrell Martin is an individual known primarily for being associated with Karla Wilson in a shared appearance or collaboration.
-
E.
Antoine Turner
Antoine Turner is an American football defensive tackle best known for his college career at Boise State University.
- 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.