Triple
T36665760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "The Sun Is Gonna Shine" |
E905256
|
entity |
| Predicate | performingForFirstRecording |
P197748
|
FINISHED |
| Object | Lincoln Center Jazz Orchestra |
—
|
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: Lincoln Center Jazz Orchestra | Statement: ["The Sun Is Gonna Shine", performingForFirstRecording, Lincoln Center Jazz Orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performingForFirstRecording Context triple: ["The Sun Is Gonna Shine", performingForFirstRecording, Lincoln Center Jazz Orchestra]
-
A.
performedFirst
Indicates that one entity carried out an action or event before another entity did.
-
B.
performerOnFirstRecording
chosen
Indicates that an entity performed on the first recording of another entity (such as a work, song, or composition).
-
C.
recordingFor
Indicates that one entity serves as a recorded representation (such as audio, video, or data capture) created for, or documenting, another entity or event.
-
D.
firstRecordingDate
Indicates the date on which an entity’s first recording (e.g., audio, video, or similar captured performance) was made.
-
E.
recordedFor
Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
- 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: May 3, 2026, 4:12 p.m.