Triple
T20013109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The experiences of Adrian Cronauer |
E494637
|
entity |
| Predicate | mediaTypeOfExpression |
P131
|
FINISHED |
| Object | oral history |
—
|
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: oral history | Statement: [The experiences of Adrian Cronauer, mediaTypeOfExpression, oral history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeOfExpression Context triple: [The experiences of Adrian Cronauer, mediaTypeOfExpression, oral history]
-
A.
mediaType
chosen
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
-
C.
mediaUse
Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
-
D.
mediaResponse
Indicates that one entity serves as a reply or reaction in a media format (such as audio, video, or image) to another entity or communication.
-
E.
mediaName
Indicates the name or title assigned to a media item (such as a work, file, or publication) in the relationship.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66238f434819083b11458179bb601 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:34 p.m.