Triple
T17440135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coach Nate Scarborough |
E424126
|
entity |
| Predicate | helpsAchieve |
P39887
|
FINISHED |
| Object | formation of a competitive inmate football team |
—
|
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: formation of a competitive inmate football team | Statement: [Coach Nate Scarborough, helpsAchieve, formation of a competitive inmate football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsAchieve Context triple: [Coach Nate Scarborough, helpsAchieve, formation of a competitive inmate football team]
-
A.
canAchieve
Indicates that an entity has the ability or potential to successfully attain or accomplish a specified goal, state, or outcome.
-
B.
helpsBecome
Indicates that one entity assists or facilitates another entity in achieving, transforming into, or developing a particular state, role, or condition.
-
C.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
D.
supportGoal
chosen
Indicates that one entity actively helps, promotes, or contributes to the achievement of another entity’s goal.
-
E.
helpsLead
Indicates that one entity assists or contributes to another entity’s act of leading or guiding.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff63e5481908a3ea0aa221360c5 |
completed | April 19, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.