Triple
T15226046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smile Sessions |
E363881
|
entity |
| Predicate | originalMaterialRecorded |
P117639
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [The Smile Sessions, originalMaterialRecorded, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMaterialRecorded Context triple: [The Smile Sessions, originalMaterialRecorded, 1966]
-
A.
originallyRecordedFor
Indicates that a work or performance was first recorded with the specific purpose of being used, released, or presented in the context of the target entity.
-
B.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
-
C.
originalSample
Indicates that one entity serves as the initial or source sample from which another related sample or derivative is obtained or based.
-
D.
reRecordedFrom
Indicates that one recording is a new recording derived from, based on, or made again from an earlier recording.
-
E.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
- F. None of above. chosen
Provenance (4 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078bb32881909927561c6c072546 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.