Triple
T18231188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrann Mathieu |
E436544
|
entity |
| Predicate | playsRoleOnDefense |
P87906
|
FINISHED |
| Object | defensive leader |
—
|
LITERAL 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: defensive leader | Statement: [Tyrann Mathieu, playsRoleOnDefense, defensive leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsRoleOnDefense Context triple: [Tyrann Mathieu, playsRoleOnDefense, defensive leader]
-
A.
defensiveRole
Indicates that an entity serves a protective or guarding function in relation to another entity or context.
-
B.
defensivePositionHeldBy
chosen
Indicates that a specific defensive position or role is occupied or maintained by a particular entity.
-
C.
playsRoleInOffense
Indicates that an entity performs a specific function or position within an offensive strategy or system.
-
D.
teamOfDefensivePlayer
Indicates that a specified team is the one for which a given defensive player plays or is rostered.
-
E.
defensiveSkillEmphasized
Indicates that particular focus or priority is placed on developing or utilizing defensive skills in the relevant context.
- F. None of above.
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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b3495881909f2a3f3a8db43792 |
completed | April 19, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.