Triple
T29998904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieder by Felix Mendelssohn |
E762106
|
entity |
| Predicate | textSettingApproach |
P168344
|
FINISHED |
| Object | clear declamation of text |
—
|
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: clear declamation of text | Statement: [Lieder by Felix Mendelssohn, textSettingApproach, clear declamation of text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textSettingApproach Context triple: [Lieder by Felix Mendelssohn, textSettingApproach, clear declamation of text]
-
A.
formsApproachTo
Indicates that one entity develops or establishes a particular method, strategy, or way of dealing with or addressing another entity or situation.
-
B.
textualApproach
Indicates an approach or method that is based on or expressed through text or written language.
-
C.
approachStyle
Indicates the manner or strategy with which one entity moves toward, engages with, or initiates interaction with another entity or target.
-
D.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
E.
usedToApproach
Indicates that one entity employed another entity as a means or method to move closer to or reach a target entity or location.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6794cf5848190a60ca2c4d9f50098 |
completed | May 2, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:40 p.m.