Triple
T35859628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1938 World Series |
E1036908
|
entity |
| Predicate | primaryMediumOfBroadcast |
P10859
|
FINISHED |
| Object | radio |
—
|
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: radio | Statement: [1938 World Series, primaryMediumOfBroadcast, radio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMediumOfBroadcast Context triple: [1938 World Series, primaryMediumOfBroadcast, radio]
-
A.
primaryBroadcastMedium
chosen
Indicates the main communication channel or platform through which something (such as content, information, or a message) is originally transmitted or distributed.
-
B.
primaryMedium
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
-
C.
primaryPerformanceMedium
Indicates the main material, instrument, or medium through which a work, performance, or expression is primarily realized or presented.
-
D.
primaryMediaType
Indicates the main or dominant type of media associated with an entity (for example, image, video, audio, or text).
-
E.
primaryBroadcaster
Indicates that one entity serves as the main or principal broadcaster for another entity (such as an event, program, or channel).
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.