Triple
T13656560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Cod Baseball League |
E326874
|
entity |
| Predicate | playerCompensation |
P14176
|
FINISHED |
| Object | unpaid amateur status |
—
|
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: unpaid amateur status | Statement: [Cape Cod Baseball League, playerCompensation, unpaid amateur status]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playerCompensation Context triple: [Cape Cod Baseball League, playerCompensation, unpaid amateur status]
-
A.
payingPlayers
Indicates that one or more entities are making a payment to one or more players, typically as compensation, fees, or rewards.
-
B.
averagePlayerSalary
Indicates the typical or mean salary earned by players within a specified group or context.
-
C.
compensationModel
Indicates the type or structure of payment or rewards provided in exchange for work, services, or performance.
-
D.
providedCompensationAmount
Indicates the specific amount of compensation that was given or agreed to be given in relation to an action, event, or obligation.
-
E.
compensationCategory
chosen
Indicates the type or classification of compensation associated with an entity, such as how or in what form payment or remuneration is provided.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.