Triple
T10367132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nocturnes: Music for 2 Pianos |
E244282
|
entity |
| Predicate | numberOfInstruments |
P93606
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Nocturnes: Music for 2 Pianos, numberOfInstruments, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInstruments Context triple: [Nocturnes: Music for 2 Pianos, numberOfInstruments, 2]
-
A.
numberInInstrument
Indicates that an entity specifies the count or quantity of items contained within or associated with a particular instrument.
-
B.
numberOfInstrumentsMade
Indicates the quantity of instruments that have been produced or created by a given entity.
-
C.
includesInstruments
Indicates that one entity contains, involves, or makes use of one or more instruments as part of its composition or execution.
-
D.
approximateNumberOfSurvivingInstruments
Indicates the estimated count of instruments that are still extant or in existence.
-
E.
hasApproximateNumberOfMusicians
Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96fd6f081908f630a16106996d9 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, noon