Triple
T21926977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As Kingfishers Catch Fire |
E541466
|
entity |
| Predicate | soundPattern |
P100410
|
FINISHED |
| Object | alliteration |
—
|
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: alliteration | Statement: [As Kingfishers Catch Fire, soundPattern, alliteration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundPattern Context triple: [As Kingfishers Catch Fire, soundPattern, alliteration]
-
A.
soundMotif
chosen
Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
-
B.
soundEngine
Indicates that one entity functions as or provides the sound engine (audio processing or synthesis system) used by another entity.
-
C.
soundChip
Indicates that one entity functions as or contains the sound-processing chip used by another entity.
-
D.
soundSpecialization
Indicates a relationship where one entity’s role, function, or expertise is specifically focused on sound (e.g., its production, design, or manipulation) in relation to another entity.
-
E.
signatureSound
Indicates that something has a distinctive, characteristic sound that uniquely identifies it.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fc188481909c74fd5f1bd52258 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:46 p.m.