Triple
T10802850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-American |
E254884
|
entity |
| Predicate | statusConferred |
P36406
|
FINISHED |
| Object | individual player honor |
—
|
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: individual player honor | Statement: [All-American, statusConferred, individual player honor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusConferred Context triple: [All-American, statusConferred, individual player honor]
-
A.
statusGrantedOn
Indicates the date or time at which a particular status was officially conferred or became effective for an entity.
-
B.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
C.
awardedStatus
chosen
Indicates that a particular status, honor, or designation has been formally granted to an entity.
-
D.
designationStatus
Indicates the current official classification or standing assigned to an entity within a defined system or process.
-
E.
grantedStatus
Indicates that an entity has been officially approved or given a particular status, permission, or privilege.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7336feff88190b638b7d62d34da0e |
completed | April 9, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.