Triple
T17411691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athletes Against Drugs |
E423380
|
entity |
| Predicate | usesRoleModels |
P103154
|
FINISHED |
| Object | athletes |
—
|
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: athletes | Statement: [Athletes Against Drugs, usesRoleModels, athletes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRoleModels Context triple: [Athletes Against Drugs, usesRoleModels, athletes]
-
A.
roleModelFor
chosen
Indicates that one entity serves as an example or inspiration that another entity admires and seeks to emulate.
-
B.
usesModelsType
Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
-
C.
definesRole
Indicates that one entity specifies or establishes the role, function, or position of another entity within a given context.
-
D.
includesRoles
Indicates that one entity contains or encompasses one or more specified roles within its scope or structure.
-
E.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0b56788190ba012788f32afb78 |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.