Triple
T30104092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Made Me Love You |
E765083
|
entity |
| Predicate | isWidelyCoveredBy |
P168823
|
FINISHED |
| Object | jazz artists |
—
|
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: jazz artists | Statement: [You Made Me Love You, isWidelyCoveredBy, jazz artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWidelyCoveredBy Context triple: [You Made Me Love You, isWidelyCoveredBy, jazz artists]
-
A.
isWidelyCoveredIn
Indicates that something receives extensive attention or reporting across many media outlets, sources, or platforms.
-
B.
widelyCoveredBy
Indicates that something (such as an event, topic, or issue) receives extensive attention or reporting from many media outlets or information sources.
-
C.
isFrequentlyCoveredBy
Indicates that one entity is regularly or repeatedly reported on, discussed, or featured by another entity, such as a media outlet or information source.
-
D.
isFrequentlyCovered
Indicates that an entity is regularly or commonly reported on, discussed, or featured, especially in media or informational sources.
-
E.
isWidelyKnown
Indicates that something is generally recognized or familiar to a large number of people.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67db919ac81909f3c8e1a99d5afbe |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:09 p.m.