Triple
T1250134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Commission |
E26854
|
entity |
| Predicate | mediaTypeOfReport |
P131
|
FINISHED |
| Object |
—
|
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: print | Statement: [Warren Commission, mediaTypeOfReport, print]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeOfReport Context triple: [Warren Commission, mediaTypeOfReport, print]
-
A.
mediaType
chosen
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
reportType
Indicates the specific category or kind of report associated with an entity or action.
-
C.
reporterType
Indicates the specific role or category of reporter associated with an entity or event.
-
D.
finalReportType
Indicates the specific category or format assigned to a report when it is in its final, completed state.
-
E.
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.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf84c73c8190bbb14265cd7ab6ae |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.