Triple
T5052621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time to Say Goodbye |
E113821
|
entity |
| Predicate | vocalLanguageMix |
P47965
|
FINISHED |
| Object | Italian and English |
—
|
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: Italian and English | Statement: [Time to Say Goodbye, vocalLanguageMix, Italian and English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalLanguageMix Context triple: [Time to Say Goodbye, vocalLanguageMix, Italian and English]
-
A.
languageOfVocalization
chosen
Indicates the language in which a vocalization (such as speech or singing) is produced.
-
B.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
C.
vocalizationCharacteristic
Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
-
D.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
E.
vocalization
Indicates the act or manner of producing sounds or calls, typically as a means of communication.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.