Triple
T18188732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellotron |
E435479
|
entity |
| Predicate | typicalTapeLength |
P12332
|
FINISHED |
| Object | approximately 8 seconds |
—
|
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: approximately 8 seconds | Statement: [Mellotron, typicalTapeLength, approximately 8 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTapeLength Context triple: [Mellotron, typicalTapeLength, approximately 8 seconds]
-
A.
typicalTrackLengthRange
Indicates the usual minimum and maximum lengths that a track associated with something tends to fall between.
-
B.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
C.
typicalRecordingDuration
chosen
Indicates the usual or standard length of time that something is recorded.
-
D.
cassetteWidth
Indicates the measurement of how wide a cassette is along its horizontal dimension.
-
E.
typicalScaleLength
Indicates the characteristic or standard length scale that typically applies to the entity or phenomenon in question.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e00059d4819097f681e702fe49e6 |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.