Triple
T29431948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago II |
E746454
|
entity |
| Predicate | featuresBrassSection |
P88204
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Chicago II, featuresBrassSection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresBrassSection Context triple: [Chicago II, featuresBrassSection, true]
-
A.
featuresHornSection
Indicates that something includes a horn section as part of its musical arrangement or composition.
-
B.
hasBandMemberOnBrass
Indicates that a musical group includes at least one band member who plays a brass instrument.
-
C.
featuresInstrumentSection
Indicates that an entity includes or highlights a specific section devoted to musical instruments.
-
D.
hasBrassArrangement
chosen
Indicates that something includes or is associated with a musical arrangement specifically written for brass instruments.
-
E.
studiedByInstrument
Indicates that something is examined, measured, or analyzed through the use of a specific instrument or device.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
Created at: April 28, 2026, 3:14 p.m.