Triple
T31712273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wish I Was Here |
E809357
|
entity |
| Predicate | featuresArtistOnSoundtrack |
P151427
|
FINISHED |
| Object | The Shins |
—
|
NE NERFINISHED |
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: The Shins | Statement: [Wish I Was Here, featuresArtistOnSoundtrack, The Shins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresArtistOnSoundtrack Context triple: [Wish I Was Here, featuresArtistOnSoundtrack, The Shins]
-
A.
hasSoundtrackPerformer
chosen
Indicates that a performer (such as an artist, band, or ensemble) is responsible for performing music on the soundtrack associated with a given work.
-
B.
featuresArtistAsRecordingArtist
Indicates that an item (such as a recording or release) includes a particular artist in the role of the recording artist.
-
C.
featuresArtistAs
Indicates that one entity includes or presents another entity in the role of an artist (e.g., a work, event, or product featuring a specific artist).
-
D.
featuresArtistInPlot
Indicates that an artist is included or plays a role within the narrative or storyline of a plot.
-
E.
musicByInWorkAppearedIn
Indicates that a piece of music was created by a particular agent and appears within a specific larger work (e.g., film, show, or production).
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
Created at: April 30, 2026, 11:16 p.m.