Triple
T6648356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Day in the Life |
E150756
|
entity |
| Predicate | hasCoda |
P72028
|
FINISHED |
| Object | orchestral glissando into final chord |
—
|
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 glissando into final chord | Statement: [A Day in the Life, hasCoda, orchestral glissando into final chord]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoda Context triple: [A Day in the Life, hasCoda, orchestral glissando into final chord]
-
A.
hasCodaTypes
Indicates that a linguistic unit (such as a syllable) possesses one or more specific types of codas in its structure.
-
B.
hasCP
Indicates that an entity possesses, is associated with, or is characterized by a specific CP (such as a control point, contact person, or configuration parameter), depending on the domain context.
-
C.
hasFeatureCode
Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
-
D.
hasCAS
Indicates that an entity is associated with a specific Chemical Abstracts Service (CAS) registry number identifying it as a distinct chemical substance.
-
E.
hasCcf
Indicates that one entity possesses, is associated with, or is characterized by a specific CCF (the exact nature of which is defined elsewhere in the model or ontology).
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2 p.m.