Triple
T9042807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Queen of Arkansas |
E216674
|
entity |
| Predicate | hasVocalAccompaniment |
P25705
|
FINISHED |
| Object | solo voice with acoustic guitar |
—
|
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: solo voice with acoustic guitar | Statement: [Mary Queen of Arkansas, hasVocalAccompaniment, solo voice with acoustic guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVocalAccompaniment Context triple: [Mary Queen of Arkansas, hasVocalAccompaniment, solo voice with acoustic guitar]
-
A.
hasVocals
chosen
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
B.
hasVocalPerformanceBy
Indicates that a vocal performance in a work or recording is performed by a specified person or group.
-
C.
hasPianoAccompaniment
Indicates that something (such as a musical work or performance) is accompanied by a piano part.
-
D.
containsVocalHarmonies
Indicates that the subject includes multiple vocal parts sung together in harmony.
-
E.
hasVocalDuet
Indicates that two entities perform or participate together in a vocal duet.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b1228748190be0c4afe6e0bd9a3 |
completed | April 1, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:09 p.m.