Triple
T28477505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Internationale |
E720601
|
entity |
| Predicate | setToMusicInYear |
P1154
|
FINISHED |
| Object | 1888 |
—
|
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: 1888 | Statement: [The Internationale, setToMusicInYear, 1888]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setToMusicInYear Context triple: [The Internationale, setToMusicInYear, 1888]
-
A.
setToMusicByYear
chosen
Indicates that something was set to music in a specific year.
-
B.
setToMusicIn
Indicates that something (typically text or lyrics) has been arranged or adapted to be performed as music within a particular work or context.
-
C.
setToMusicAs
Indicates that one entity (typically a text or work) has been adapted and arranged by another entity into a musical composition.
-
D.
modifiedLyricsYear
Indicates the year in which the lyrics of a work were altered, updated, or otherwise modified from their original form.
-
E.
musicArrangedYear
Indicates the year in which a piece of music was arranged or re-arranged into its specific version.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64ee6ebbc819088c7fb0c681988f9 |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 2:53 a.m.