Triple
T33551557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Story of a Heart (album) |
E859344
|
entity |
| Predicate | originalLanguageOfSongs |
P11404
|
FINISHED |
| Object | Swedish |
—
|
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: Swedish | Statement: [Story of a Heart (album), originalLanguageOfSongs, Swedish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLanguageOfSongs Context triple: [Story of a Heart (album), originalLanguageOfSongs, Swedish]
-
A.
originalLanguageOfSourceSong
Indicates that a given language is the original language in which a particular source song was created or first written.
-
B.
originalLanguageOfMelody
Indicates that a specified language is the language in which a particular melody was originally created or first composed.
-
C.
laterLanguageOfLyrics
Indicates that the language referenced is a later or subsequent language version used for the lyrics of a work, relative to an earlier language version.
-
D.
lyricsLanguage
chosen
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
E.
originalLanguageCountry
Indicates the country where a work’s original language is primarily spoken or officially used.
- 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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a03213d35788190bdf04e19625b4060 |
completed | May 12, 2026, 12:46 p.m. |
| PD | Predicate disambiguation | batch_6a031ea131d48190ab0fecb48b8e2205 |
completed | May 12, 2026, 12:35 p.m. |
Created at: May 1, 2026, 1:39 a.m.