Triple
T12332513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorry, Blame It on Me |
E293996
|
entity |
| Predicate | addressesMediaCoverage |
P104543
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Sorry, Blame It on Me, addressesMediaCoverage, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressesMediaCoverage Context triple: [Sorry, Blame It on Me, addressesMediaCoverage, Yes]
-
A.
mediaCoverage
Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
-
B.
mediaCoverageAs
Indicates that one entity provides or receives media coverage in the role, capacity, or format specified by another entity.
-
C.
mediaCoverageContext
Indicates the situational background, circumstances, or framing within which media coverage of an entity, event, or issue takes place.
-
D.
mediaCovered
Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
-
E.
mediaCoverageFocus
Indicates the primary topic, subject, or aspect that media coverage is centered on or emphasizes.
- F. None of above. chosen
Provenance (4 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.