Triple
T22488627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo |
E555955
|
entity |
| Predicate | voiceOutcome |
P148408
|
FINISHED |
| Object | remained as a disembodied echo |
—
|
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: remained as a disembodied echo | Statement: [Echo, voiceOutcome, remained as a disembodied echo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceOutcome Context triple: [Echo, voiceOutcome, remained as a disembodied echo]
-
A.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
B.
voiceWork
Indicates that one entity performs or contributes voice acting or vocal performance work for another entity or creative production.
-
C.
speakerConfiguration
Indicates how speakers are arranged or assigned within an audio or communication setup.
-
D.
voiceTexture
Indicates the characteristic quality or timbre of a voice as perceived in sound.
-
E.
languageOutcome
Indicates the resulting language or linguistic state that emerges from a given process, action, or interaction.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3e73108190be5ca89ea96a85e4 |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:49 p.m.