Triple
T3205244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Jackson |
E67145
|
entity |
| Predicate | usedInMediaCoverageAs |
P29265
|
FINISHED |
| Object | moniker for Janet Jackson |
—
|
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: moniker for Janet Jackson | Statement: [Miss Jackson, usedInMediaCoverageAs, moniker for Janet Jackson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInMediaCoverageAs Context triple: [Miss Jackson, usedInMediaCoverageAs, moniker for Janet Jackson]
-
A.
usedInMediaOf
Indicates that something (e.g., a work, element, or content) is employed or appears within a particular media work or production.
-
B.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
-
C.
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.
-
D.
mediaCoverageAs
chosen
Indicates that one entity provides or receives media coverage in the role, capacity, or format specified by another entity.
-
E.
mediaCoverage
Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa559848819082d1e61f586278dd |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.