Triple
T30481487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celeste Aida |
E775598
|
entity |
| Predicate | commonPerformancePractice |
P12146
|
FINISHED |
| Object | often sung with a more heroic ending than written |
—
|
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: often sung with a more heroic ending than written | Statement: [Celeste Aida, commonPerformancePractice, often sung with a more heroic ending than written]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonPerformancePractice Context triple: [Celeste Aida, commonPerformancePractice, often sung with a more heroic ending than written]
-
A.
currentBestPractice
Indicates that something represents the most up-to-date and widely accepted recommended method or standard at the present time.
-
B.
recommendedPracticeDefinition
Indicates that one entity defines or specifies the content or meaning of a recommended practice associated with another entity.
-
C.
typicalPractice
chosen
Indicates that an action, behavior, or method is commonly or customarily done in a given context or by a given group.
-
D.
supportedPractice
Indicates that one entity endorses, promotes, or facilitates the use of a particular practice by another entity.
-
E.
usedInPractice
Indicates that something is actually applied or implemented in real-world practice rather than just being theoretical or proposed.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 29, 2026, 8:12 p.m.