Triple
T20434985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All or Nothing at All |
E501227
|
entity |
| Predicate | hasNotableVocalInterpretation |
P112226
|
FINISHED |
| Object | Frank Sinatra version |
—
|
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: Frank Sinatra version | Statement: [All or Nothing at All, hasNotableVocalInterpretation, Frank Sinatra version]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableVocalInterpretation Context triple: [All or Nothing at All, hasNotableVocalInterpretation, Frank Sinatra version]
-
A.
vocalInterpretationOf
chosen
Indicates that one entity is a vocal performance or rendition that expresses, realizes, or interprets the content of another entity.
-
B.
hasVocalPerformanceBy
Indicates that a vocal performance in a work or recording is performed by a specified person or group.
-
C.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
D.
hasNotableVocalType
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
-
E.
hasSingingVoiceType
Indicates the specific category or classification of a person's singing voice (such as soprano, tenor, etc.) in relation to that person.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ee758c8190b267b7ce71de8f8c |
completed | April 20, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:31 a.m.