Triple
T550443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prison Break (TV series) score |
E11825
|
entity |
| Predicate | recordingType |
P15615
|
FINISHED |
| Object | orchestral |
—
|
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: orchestral | Statement: [Prison Break (TV series) score, recordingType, orchestral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingType Context triple: [Prison Break (TV series) score, recordingType, orchestral]
-
A.
recordingMethod
Indicates the technique or process used to capture or record something (such as data, audio, or video).
-
B.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
-
C.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
D.
trackType
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
-
E.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494bae210819093c2e0d33a8ca51a |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.