Triple
T28112284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letters and Music |
E710526
|
entity |
| Predicate | featuresLiveMusic |
P13977
|
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: [Letters and Music, featuresLiveMusic, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresLiveMusic Context triple: [Letters and Music, featuresLiveMusic, yes]
-
A.
featuresVariousArtists
Indicates that something (typically a creative work) includes contributions from multiple distinct artists rather than a single primary artist.
-
B.
hasLiveMusic
chosen
Indicates that a place or event features live musical performances as part of its offerings.
-
C.
featuredArtistLiveVersion
Indicates that an artist is the prominently credited performer on a live-recorded version of a work.
-
D.
livePerformanceFeature
Indicates that one entity is included or highlighted as a component of another entity’s live performance.
-
E.
musicFromAttraction
Indicates that the music originates from, or is thematically associated with, a specific attraction.
- 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: April 27, 2026, 9:11 p.m.