Triple
T19744843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bootleg Series Vol. 10: Another Self Portrait |
E474222
|
entity |
| Predicate | containsPreviouslyUnreleasedRecordings |
P71138
|
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 Bootleg Series Vol. 10: Another Self Portrait, containsPreviouslyUnreleasedRecordings, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPreviouslyUnreleasedRecordings Context triple: [The Bootleg Series Vol. 10: Another Self Portrait, containsPreviouslyUnreleasedRecordings, true]
-
A.
containsPreviouslyUnreleasedMaterial
chosen
Indicates that the subject includes content that has not been made publicly available or released prior to this instance.
-
B.
containsEarlyBandRecordings
Indicates that something includes recordings made by a band during its early period or formative years.
-
C.
hasDiscographyIn
Indicates that an entity has released or contributed to musical recordings within a particular region, market, or catalog context.
-
D.
hasDiscographyWith
Indicates a relationship where two or more musical entities are associated through a shared or jointly produced discography.
-
E.
oftenRecordedIn
Indicates that instances of one entity are frequently documented, logged, or captured within another entity (such as a medium, dataset, or record).
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e652923fd48190982c51c39814fd08 |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.