Triple
T23849857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wizard of Oz (1939 film score) |
E592129
|
entity |
| Predicate | includesSongMaterialBy |
P87701
|
FINISHED |
| Object | Harold Arlen |
—
|
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: Harold Arlen | Statement: [The Wizard of Oz (1939 film score), includesSongMaterialBy, Harold Arlen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSongMaterialBy Context triple: [The Wizard of Oz (1939 film score), includesSongMaterialBy, Harold Arlen]
-
A.
includesSongsFrom
Indicates that one collection, playlist, or set contains one or more songs that originate from another specified source or group.
-
B.
includesMaterialFromAlbumEra
Indicates that something incorporates material originating from a specific album’s creative or release era.
-
C.
includesOriginalSongsBy
chosen
Indicates that one entity (such as a collection or work) contains original songs that are created or performed by another entity.
-
D.
compilesMaterialFromAlbum
Indicates that material is selected and assembled from an album into another work or collection.
-
E.
sharesMelodicMaterialWith
Indicates that two musical works or passages use the same or closely related melodic ideas, motifs, or themes.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c986f7e08190a6d361423946ff05 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.