Triple
T28706907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conversations with Myself |
E729719
|
entity |
| Predicate | numberOfOverdubbedPianoParts |
P200299
|
FINISHED |
| Object | three |
—
|
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: three | Statement: [Conversations with Myself, numberOfOverdubbedPianoParts, three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOverdubbedPianoParts Context triple: [Conversations with Myself, numberOfOverdubbedPianoParts, three]
-
A.
hasPianoAccompaniment
Indicates that something (such as a musical work or performance) is accompanied by a piano part.
-
B.
hasPianoRiff
Indicates that one entity features or contains a distinctive piano riff associated with another entity.
-
C.
numberOfTrebleParts
Indicates the quantity of treble (high-pitched) musical parts present in a composition or arrangement.
-
D.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
-
E.
isPianoDriven
Indicates that something is primarily led, dominated, or characterized by the piano in its musical arrangement or performance.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69ff7fc715208190a8e4e2cc5aa72d2c |
completed | May 9, 2026, 6:41 p.m. |
Created at: April 28, 2026, 5:45 a.m.