Triple
T32651595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Tree |
E834746
|
entity |
| Predicate | featuresOuttakesFrom |
P177073
|
FINISHED |
| Object | early The National recording sessions |
—
|
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: early The National recording sessions | Statement: [Cherry Tree, featuresOuttakesFrom, early The National recording sessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresOuttakesFrom Context triple: [Cherry Tree, featuresOuttakesFrom, early The National recording sessions]
-
A.
hasStudioOuttake
Indicates that there exists an alternate, typically unreleased or non-final studio recording associated with the referenced work or session.
-
B.
usesOuttakesFrom
chosen
Indicates that one entity incorporates or includes unused or discarded material (outtakes) originating from another entity.
-
C.
featuresClipFrom
Indicates that one media item includes or incorporates a segment or excerpt taken from another media item.
-
D.
featuresInstrumentalDialogue
Indicates that the situation or work includes dialogue that serves an instrumental or functional purpose, such as advancing a task, plan, or procedure.
-
E.
usesUnusedFootageOf
Indicates that one entity incorporates or includes previously unused or discarded footage originating from another entity.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0124a5d7848190a6b56d18db2f661d |
completed | May 11, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_6a01243da1808190ada3ce553e3f55b6 |
completed | May 11, 2026, 12:35 a.m. |
Created at: May 1, 2026, 1:08 a.m.