Triple
T20434671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl in the Other Room |
E501220
|
entity |
| Predicate | includesCoverSongs |
P11142
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Girl in the Other Room, includesCoverSongs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCoverSongs Context triple: [The Girl in the Other Room, includesCoverSongs, true]
-
A.
includesSongsFrom
Indicates that one collection, playlist, or set contains one or more songs that originate from another specified source or group.
-
B.
hasCoverVersions
chosen
Indicates that a musical work has one or more recorded versions performed or produced by artists other than the original creator.
-
C.
includesOriginalSongsBy
Indicates that one entity (such as a collection or work) contains original songs that are created or performed by another entity.
-
D.
hasRemixOrCovers
Indicates that one creative work is a remix or cover version of another work.
-
E.
includesSongsFromPreviousAlbums
Indicates that a musical release contains one or more songs that were already issued on earlier albums.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ecf7ac81908e9c2ef4348fb281 |
completed | April 20, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:31 a.m.